Statistics of YouTube channels, ours and others: what, how and where to watch. Statistics of YouTube channels, ours and others: what, how and where to watch Development of situational detectors - detectors of non-trivial behavior

Hi all!

My name is Zhenya Zaremba. A couple of months ago I wrote an article about promoting videos on YouTube. Then I received a lot of questions and as a result I decided to write an extended guide on video analytics.

In this article we will talk about YouTube Analytics, the benefits of integration with Google Analytics, as well as the additional data that can be obtained by properly configuring Google Tag Manager.

YouTube is the third most visited website in the world. However, in Lately more and more people are using it as a search engine. It is now the second largest in the world search engine. In some niche niches, organic traffic is growing up to 70% per year. And this is not surprising, because video content is more informative than text content.

Therefore, competition is growing quite quickly. Nowadays, promoting a channel without creating a marketing plan and working closely with analytics is much more difficult than it was a couple of years ago.

In this article we will talk specifically about using analytics:
What can you analyze in YouTube Analytics and what can't?
Why do you need integration with Google Analytics?
What additional data can we track by properly configuring Google Tag Manager?
How can additional analytics add-ons increase behavioral factors and help SEO?

YouTube Analytics

YouTube Analytics is the most important video analysis tool. Its purpose is to track the performance of individual videos and the channel as a whole. It contains a huge layer of data (traffic sources, viewing devices, demographics, etc.), the analysis of which is not difficult. Below I will share with you some features that you need to pay attention to when analyzing statistics, as well as tricks to improve the performance of any video.

Audience retention

The video should not have sharp drops in absolute retention of more than 30% within 15-25 seconds (especially in the first 15 seconds). If you see graphs like the one below in your statistics, definitely change the start. Perhaps the video logo is too long, or something is annoying users. Or maybe the thumbnail is simply irrelevant and misleading. If the audience retention chart contains such sharp dips, we need to look into it.

Carefully analyze sharp increases or decreases in retention at certain points in the video (more clearly seen in the graph below). A sharp increase usually means that the material is interesting and appealing to the audience. But remember that this is not always the case. Perhaps, on the contrary, there is not enough information in this place or there is an error that is being quoted.

There are often moments in videos where people fall off, but it’s impossible not to use them. In such cases, put an annotation in front of them with information that something interesting or useful will be coming soon. Some people won’t leave; retention will improve a little.

Subscribers

Quite an important metric that directly and indirectly affects a lot. There is a direct impact - the number of subscribers is one of the ranking factors (according to my observations, it is already quite insignificant). There is an indirect influence - when people see a channel with big amount subscribers, they tend to be more loyal to him. Such an audience slightly increases retention, likes more often, and has a higher chance of turning into subscribers.

Select best videos that bring the most subscribers, add annotations and cards inviting you to subscribe - the return will be even higher.

Important: do not forget to add the ending?sub_confirmation=1 to the channel in annotations and cards (for example, for tanks: https://www.youtube.com/user/WorldOfTanks?sub_confirmation=1). This link will redirect to the subscription window - the conversion will increase.

Likes, comments, dislikes, shares

Now these indicators are not as important as they were a couple of years ago, but they still cannot be ignored. In addition, they have an indirect influence - you yourself are unlikely to watch a long video on a supposedly interesting topic, but with a bunch of dislikes.

Traffic Sources

When the first traffic appears on a channel, it is very important to understand where it is coming from and what external and internal channels are working. I consider this metric important for increasing traffic, since it shows which of your videos are readily embedded by other sites, which are well promoted by keywords, which are more often found on home page, which ones are viral, etc.

You can learn more about the main indicators from my articles.

YouTube + Google Tag Manager

With the development of Google Tag Manager, we can easily track user interaction with video content on the site. Video view statistics on the resource will look like this:

Why and to whom can this be useful?
Many bloggers and website owners to raise behavioral factors embed videos into posts. People watch videos and thus spend more time on the site. Properly configured GTM helps you understand what type of video people watch to the end. This allows you to increase the time spent on the site.
For services, online stores or landing pages, GTM allows you to more effectively collect remarketing lists. People who watch the video are more likely to buy the product (or take another desired action).
Website owners who make their own videos can use GTM to better understand their audience.

How to set up Google Tag Manager?

In fact, setup should not take more than 10 minutes. Useful instructions for advanced users are available in the English-language blog Optimizesmart.com
In this guide below, I described everything in more detail, so that even those who have not worked with GTM understand how to install and configure everything.

Important 1: We will track all videos that are inserted onto the site via iframe ( standard way embedding video on the site).

Important 2: All screenshots were made with latest version GTM 2.0 (current at the time of writing).

1) Register/login in GTM: tagmanager.google.com, place the code on the site, add new tag to contact Google account Analytics (if this is not already done).

2) Create the YouTube is present variable. The variable is native JavaScript code. Paste the code given below. It checks if there is a video on the page.
1 // Return "true" if there is at least one Youtube video on the page
2 function() (
3 for (var e = document.getElementsByTagName("iframe"), x = e.length; x--;)
4 if (/youtube.com\/embed/.test(e[x].src)) return true;
5 return false;
6 }

3) Create a “YouTube present” trigger. Event selection – page view, trigger type “DOM ready”. The activation condition is that the previously created variable “Youtube is present” is equal to “true”.

The trigger will also fire if a video is present on the page.

4) Now you need to create a tag and insert the script itself, which will track the percentage of video views and send information to Google Analytics, as well as conveniently display titles.
The script itself is located at this link.
Create a “Youtube Listener” tag, select a custom “HTML” tag and paste the script code.

The activation condition is the previously created “YouTube present” trigger.

5) In order to transmit all the information, you need to create 3 more variables: Event Action, Event Category, Event Label. Type is a data level variable.
In the “Name of data level variable” field, enter “eventAction”, “eventCategory”, “eventLabel” respectively. The data layer version is Version 2.

You also need to create a custom trigger to send all the data to Google Analytics. Event selection – custom event. In the activation condition, write “YouTube” in the event name.

6) In order to collect all the data and send it to Google Analytics, create another tag “UA YouTube Event”. Product selection – Google Analytics, tag type selection – Universal Analytics.

Now about the tag settings. We put our Universal Analytics identifier in the identifier, and the tracking type is Event. For the category, select – Event Category, for the action – Event Action, for the label – Event Label. Activation condition – Youtube Event (trigger created in the fifth step).

In general, the picture should look like this:

This tag will send all interactions from the YouTube video to Google Analytics.

7) To check your work, click on the arrow next to “Publish” in the upper right corner and then select “Preview and Debug”.

Now go to the website page where the YouTube video is inserted, click on play and then stop. All 3 tags should be activated.

If everything is activated, then return to Google TM and click “Publish”.
After that, you can play the video yourself and stop it. All data should appear in the “Events” section in GA in the “Real Time” tab.

If suddenly problems arise somewhere, or something doesn’t work, write in the comments, I’ll be happy to help.

YouTube Analytics + Google Analytics

YouTube analytics provides a wealth of information for video analysis. But if you want to analyze the channel specifically, then integration with GA will help you get Additional information.

To link two analytics, follow the instructions:
1) Create a new property in Google Analytics for your YouTube channel and copy the tracking ID.

GA will have statistics for this URL and for all categories and feeds containing this URL (for example, www.youtube.com/user/WorldOfTanks/videos , www.youtube.com/user/WorldOfTanks/playlists etc.). There will also be information on the main page of the channel, if you do not use a simple and memorable URL in the settings (for us this is www.youtube.com/channel/UCVnah-S-sByndtg9cHBxlOA), and on all derivatives with it.

But there will be no information about the video URLs. If you click to watch a video from the main page, in a playlist, or somewhere else, GA will not record this.

Now that we have understood the principle of connection between GA and YouTube, let's see what additional information we can receive:

Grade advertising campaigns. Integration is required if you purchase advertising on the main page of your YouTube channel. YouTube Analytics does not allow you to measure its effectiveness. But in GA you can see how much time people spent on the site from that ad source, their bounce rate, etc.
Conversion tracking and analysis. Many people know that if you add ?sub_confirmation=1 to the channel URL, you will be taken straight to the subscription page. For example, for us it is: www.youtube.com/user/WorldOfTanks?sub_confirmation=1
GA shows the number of clicks on this URL. By correlating this data with the number of subscribers in YouTube analytics, you can understand the behavior of your users. If your subscriber to click ratio is quite low, then something is causing them to not subscribe. Perhaps you should ask in the annotation to log in to your email. Perhaps you should write that it is free. Everything is different for each channel.
Statistics for specific pages. GA shows the number of clicks to each page. For example, you can measure the conversion of sending emails to your email from the “About the channel” page. If you sell advertising and your Channels page gets a lot of hits, you can estimate your cost per conversion.

Often, competent work with analytics can be much more profitable than spending your budget on attracting traffic. If you have any questions or comments, please ask - I will be happy to answer everything!

P.S. Recently, my colleagues and I launched the World of Video project. In this blog we share professional secrets and look at interesting cases from other companies. If you want to know everything about video marketing and promotion on YouTube, join us!

Video analytics is a system of program logic based primarily on video analysis, which allows you to highlight the most important points in the behavior of people or other controlled objects.

Basic principles underlying analytical algorithms:

1. A person cannot cover all the information.

2. A person will never be able to foresee all problematic situations.

3. A person will still make mistakes.

It is necessary to clearly distinguish that SpetsLab video analytics is not based on object detector , as is done by the overwhelming majority of companies, but only uses Object Detector as a component, and not the most significant element, of which there are a lot in the system.

The highest degree of practicality is based on VIDEOSEMANTICS.

Video analytics "Attention!" is built on a self-learning architecture, which, based on previous behavior statistics, determines what is new, unusual, special, unusual in the actions of controlled objects.

As a rule, all criminal phenomena are committed in a non-standard way, because... require special movements, unusual trajectories of movement, specific sequences. They are most often accompanied by psycho-emotional arousal, which forces them to perform unusual actions. All this, as well as any new changes in the frame, is found by the video analyst “Attention!”

"Attention!" is required not only to search for crime, but also allows you to find other important moments in the life of an enterprise, home or street area. Among other things, video analytics makes it possible to very quickly view large volumes of recordings, highlighting only noteworthy moments. Hundreds of hours easily fit into a few minutes of analytical frames.

Video analytics in traffic control

Video analytics also occupies a worthy place in monitoring traffic, identifying accidents, violating traffic rules, protecting and searching for vehicles.

Video analytics “Attention!” - it's just a convenience, not a panacea for all ills. Instead of constantly and every second monitoring the mass of monitors, she suggests only occasionally paying attention to the indicated moments, which, moreover, occur sequentially on one monitor, and only on 1/10 of it. And, besides, they do not disappear from the screen for a long time, giving you the opportunity to get distracted, go to the toilet or watch a beautiful goal in a football match.

This is an effective remedy to combat human factors problems. The last sentence must be taken literally, we are eliminating the human factor, and not creating miracles artificial intelligence. From the difference between video semantics and classical video analytics: or.

What is video surveillance really?

There is often a substitution of concepts: video surveillance, alarm, security... Various smart people are trying to replace them with video analytics. This word has not even been introduced into the official dictionary yet, it is not yet in other languages of the world, the technology has not yet been officially recognized by anyone, but in our country they already want to replace all technical security means with it. And the problem is not the quality of the technology, but the meaning in general. Why remove, cancel, replace video surveillance? It needs to be improved, and not converted into smoke detectors, motion sensors, activity sensors and other things that are not typical for video surveillance. In addition, such sensors themselves, which have existed for a long time, cost an order of magnitude less than video cameras with video channels, and they can work in complete darkness.

What exactly is video surveillance? These are the eyes of a person in the distance. And there is no need to throw dust at them. The main thing in the process of video surveillance is the person. If we throw it away, there is no video surveillance. Video surveillance is the same as a person being in the place where the camera is and seeing everything that is happening. He may be asleep, but he sees. Given its selectivity, it does not react to interference such as swaying branches, birds, etc., and is also able to assess at a glance the adequacy of passing people to an object (albeit not always).

So let’s leave these functions for video surveillance, we won’t replace them with anything, we’ll just make sure that a person can comfortably feel that they are simultaneously in hundreds of places of a large number of video cameras. In addition, he could watch TV or even sleep if he really wanted to, and in general experience as little discomfort as possible. We still won’t be able to break human physiology; our task is to adapt to it, to ensure the safety of the object in the conditions of the attention that Mr. Man is ready to pay. Accordingly, there is no point in sending an endless stream of video channels, messages, warnings - no one will perceive them, simply because it is tiring. The task of video analytics is to find a comfortable connection between the video surveillance system and a person.

Video analytics– this is a kind of conditioner for the operator’s brains; it should not be confused with the brains themselves.

We are not fighting criminals; we have already come up with everything to fight them. To see everything around, there is video surveillance. To protect buildings, there are burglar alarms. There are security guards and police to counteract the attack. We are fighting against the inattention of the operator, the carelessness of the owner, the drowsiness of the security guard,... - we are fighting against the human factor!

Video analytics- hardware and software or technology that uses computer vision methods for automated data collection based on the analysis of streaming video (video analysis). Video analytics relies on image processing and pattern recognition algorithms to analyze video without direct human intervention. Video analytics is used as part of intelligent video surveillance systems (CCTV, closed circuit television), business management (business intelligence, BI) and video search.

Video analytics functions.

Depending on the goals, video analytics can implement one or several basic functions:

Object detection. As a rule, objects in the camera's field of view are detected using video motion detectors. The main difference between video analytics and IR motion sensors is the possibility of localization (selection) and independent analysis of several objects at once. If motion is not a sufficient feature to localize an object in a frame, then detection can be done using templates. For example, detecting people's faces, car license plates, or detecting slow-moving sea targets.

Object tracking. Tracking (tracking) algorithms make it possible to obtain a partial trajectory of an object’s movement both in the field of view of one camera and a generalized trajectory based on data from several cameras at once. Tracking is necessary to analyze the behavior of an object along its trajectory, for example, to determine the movement of a person against the flow or movement at an increased speed. In addition, tracking is necessary to prevent repeated triggering of video analytics systems on the same objects. Professional systems work according to the rule of “one alarm object - one actuation” to achieve high operator productivity.

Object classification. Some video analytics systems classify objects to filter live notifications or search results. For example, a typical object classifier, using shape characteristics and absolute dimensions, distributes objects into groups: a person, a group of people, a vehicle. More complex classifiers in video analytics systems can determine the gender or return group of a person.

Object identification. Object identification is the most complex component of video analytics systems. Modern systems make it possible to identify people by facial biometrics or vehicles by license plates. Identification can be implemented using additional tools beyond video analytics: based on fingerprints, bank card, ticket, pass or mobile device ID.

Detection (recognition) of situations. Video analytics allows you not only to identify objects from streaming video, but also to recognize alarming situations based on an analysis of the behavior of a given object, which is not possible with a conventional video surveillance system. Also, situational video analytics can automatically detect the crossing of a signal line, people falling, prohibited parking and the occurrence of a fire.

The results of video analytics are events (messages) that can be transmitted to the video surveillance system operator or recorded in a video archive for subsequent search. In addition, video analytics generates metadata, that is, data structures that describe the content of each frame of a video sequence. Metadata contains information such as the location and identifiers of objects (usually in the form of an alarm frame), the trajectory and speed of movement of objects, data on the separation or merging of objects, data on the occurrence and end of an alarm situation. Metadata is recorded in the video archive and played back along with the video.

Basic types of video analytics.

In terms of application, the following types of video analytics are distinguished:

Perimeter video analytics(perimeter video analytics) is used to protect extended areas and perimeters, detect intrusion and cross signal lines in a “sterile area”. The peculiarity of perimeter video analytics is that violations are relatively rare (hence the zone is called “sterile”), but the shape and type of the object cannot be clearly defined, for example, a person may be crawling or riding a bicycle.

Situational video analytics(situation video analytics) is used to recognize alarming situations related to human behavior or movement Vehicle. Situational video analytics can work based on user-defined rules (for example, prohibited parking in a given zone), or based on accumulated statistics (for example, detecting twice as many people in a park as usual at this time of day and on this day of the week).

Biometric video analytics(biometrical video analytics) is used to identify and track individuals based on biometric facial features. Classic biometrics uses black and white lists to compare images of people. Biometric video analytics can work in more complex scenarios, for example, profiling people or comparing observations from multiple cameras in a geographically distributed surveillance network.

Number video analytics(number plate reading) is used to recognize vehicle registration plates, as well as to analyze their movement using data from multiple cameras.

Multi-camera video analytics(multiple camera tracking video analytics) is used to track objects using multiple cameras. The result of multi-camera video analytics is the trajectory of an object on a plan of the entire observation area.

Video analytics system architectures.

From the point of view of hardware and software architecture, the following types of video analytics systems are distinguished:

Server video analytics involves centralized processing of video data on the server. Typically, a server analyzes video streams from multiple cameras or encoders on a central processing unit (CPU) or GPU(GPU). The main advantage of server video analytics is the ability to combine video analytics algorithms on one hardware platform. The main disadvantage of server-based video analytics is the need for continuous video transmission from the video data source to the server, which creates a load on communication channels.

Built-in video analytics (edge video analytics) implemented directly in the source of video data, that is, in cameras in encoders. Embedded video analytics runs on a dedicated processor (DSP, ASIC, FPGA, ARM or x86 architecture) of the device and transmits results (metadata) along with the video stream. The main advantage of built-in video analytics is to reduce the load on communication channels and on the video data processing server. If there are no objects or events, the video is not transmitted and does not load communication channels, and the processing server does not decode the compressed video for video analysis and indexing. Compared to server-based video analytics, built-in video analytics allows you to increase the efficiency of using communication channels and servers by 10-100 times.

Distributed video analytics is a hybrid solution between server-based and embedded video analytics, in which processing is distributed between the video data source and central equipment. For example, in multi-camera tracking systems, object detection is carried out in the video data source, and comparison of results between several sources is carried out on the server.

Ways to identify alarming situations.

There are the following methods for setting up video analytics to automatically recognize alarm situations:

Rules-based video analytics(rule-based video analytics) is the most common type of video analytics, in which the user pre-defines rules that define alarm events. For example, the user can set a restricted zone where people are not allowed to be or a restricted zone for parking cars.

Video analytics based on statistical learning(statistical learning video analytics) accumulates statistical data on the behavior of objects and generates an alarm in case of non-standard behavior.

General benefits of video analytics.

The main advantages of video analytics over conventional systems video surveillance consists of automatically extracting metadata from a video data stream without operator participation. The resulting metadata can be used to quickly search the video archive, send alarm alerts and collect statistics.

Compared to “manual video surveillance,” video analytics can reduce the cost of video monitoring and the human factor in terms of detection and response time. Since a significant part of the video data (more than 99%) in video surveillance systems is not of interest to users, video analytics can radically reduce the load on communication channels and the archiving system by filtering unnecessary video data.

Existing problems.

The main problem with many video analytics implementations is high frequency false alarms, which quickly reduces the economic effect of the technology. The problem is gradually being solved by improving video analysis algorithms, automatic testing on special test benches, and ranking events by importance.

Another problem is the significant cost of system integration and implementation of video analytics. The role of this factor is decreasing due to the emergence of open standards such as ONVIF, simplifying calibration procedures and setting up video analytics.

International standards.

Intelligent video surveillance in general and video analytics in particular are in the early stages of standardization. Next international organizations develop data transmission and control interfaces for video analytics systems:

ONVIF (Open Network Video Interface Forum) unites about 500 manufacturers and has a strong position in Russia, Europe and Japan. Describes the interfaces for interaction between IP cameras, video analytics servers, video recorders, access control systems (ACS) and other components. A distinctive feature of ONVIF is the use of the SOAP protocol for interaction between security system components.

PSIA (Physical Security Interoperability Alliance) unites about 65 manufacturers and has a strong position in North America. A distinctive feature of PSIA is the use of the POST protocol. Compared to ONVIF, the PSIA interface is simpler to implement, but less flexible and scalable.

CAP (Common Alerting Protocol) is a protocol for transmitting messages about alarm situations. Unlike ONVIF and PSIA, the CAP interface is not specialized for video surveillance and video analytics.

Areas of application of video analytics.

The economic effect of introducing video analytics is more noticeable in large, geographically distributed video surveillance networks. As technology becomes cheaper, video analytics is becoming attractive to households and small businesses.

MarketsandMarkets: forecasts for the development of the video analytics market 2017-2022

The video analytics market will grow from 2.61 billion US dollars in 2017 up to 11.17 billion US dollars by 2022, with total annual growth rate of 33.7%. According to experts, the key factors influencing the video analytics market are: high demand for effective video surveillance and government investment in new technologies to improve public safety infrastructure, and, consequently, demand for effective algorithms for processing a growing amount of data.

Facial recognition drives video analytics market growth, with increasing acceptance of this technology as one of the most advanced security tools by crime investigation and law enforcement agencies around the world. Video analytics based on , is a powerful application that can be easily deployed to improve your security posture.

In addition, video analytics is increasingly being used for non-security applications, such as in retail, where facial recognition is used to identify loyal customers and give them preferential treatment, resulting in high levels of loyalty.

Experts predict that the most effective business model would be to connect video analytics on demand.

Concerning geographic segmentation, the North American region is the leader, but experts predict active growth for the Asia-Pacific region due to initiatives.

Major video analytics providers experts name: Cisco Systems (USA), Honeywell International Inc. (USA), IBM Corporation (USA), Axis Communication (USA), Video Intelligent Agent (USA), AllGoVision Technologies Pvt. (India), Avigilon Corporation (Australia), Aventura Technologies Inc. (USA), Genetec Inc. (Canada), I2V System Private Ltd. (India), Intellivision Technologies (USA), IntuVision (USA), PureTech Systems Inc (USA) and Qognify (USA).

Video analytics technologies

The impact of video quality on analytics capabilities

As the resolution of surveillance cameras increases, the capabilities and functionality of video analytics expand. Companies offering video analytics solutions rely heavily on modern megapixel video cameras. However, even private companies do not always have a sufficient budget to quickly modernize the system. As for government projects, in addition to the allocation of funds, it is necessary to overcome bureaucratic barriers from regulations and approvals.

Therefore, some manufacturers develop software for analyzing video, even if it is not of very good quality.

“Our algorithms even work with video streams that have a low frame rate or low resolution, which is traditional for the fragments most often used in criminal investigations. We provide a complete reporting package, including annotation, editing, explanation and storyboarding.”, says Sarah Doyle, Managing Director of Kinesense.

Using video analytics based on cloud platforms

At the same time, the search for an alarming event is often carried out in the archive rather than in real time.

At the same time, from an algorithmic point of view, analyzing a video archive is simpler than analyzing a situation in real time. When something has happened, the signs of the event whose record needs to be found are already known. For example, this could be a description of eyewitnesses, a sketch of a suspect, or a car license plate number. Therefore, there is no need to configure detectors in advance for unknown alarm situations. It is enough to analyze the video at the time of recording, extract raw data from it that can be searched, and save it. This data includes biometric characteristics of faces, recognized license plates, and metadata that describes the movement of objects in the frame, their coordinates at different times, sizes, and colors.
The more information is extracted from the video stream during recording, the more search opportunities there will be in the future.
Fragment of the TK article: .

Video surveillance as a service enables a new analytics business model: a one-time request to examine video to detect any events. The customer uploads the video archive to the cloud server, where the supplier’s tools search and analyze events, and generate a report.

Automatic License Plate Recognition (ALPR)

Automatic license plate recognition or Automatic License Plate Recognition (ALPR) is a video analytics function that makes it convenient to manage traffic flows and maintain parking lots. For example, ALPR allows you to monitor the number of empty parking spaces, which is more cost-effective than using ultrasonic and magnetic sensors.

In addition, automatic license plate recognition can be used when integrating with payment systems: parking time is recorded by ALPR; Parking fees are debited at automatic mode from attached electronic wallet, replenished by the user.

Another function that increases ease of use and response speed is the ability to pre-register for events: the system analyzes information about the license plate number of the approaching car, and, if it is in the database, immediately opens the barrier.

Video analytics using artificial intelligence

Deep learning mechanisms based on artificial intelligence make it possible to improve video analysis mechanisms, moving from analyzing events that have already occurred to preventing them.

The development of video analysis algorithms has remained one of the main trends in video surveillance for many years. And considerable progress has been made here, especially in highly specialized areas such as facial recognition and license plate recognition. Thanks to the use of neural networks and machine learning, a computer is almost as good as a human in solving these problems, and in certain cases even surpasses it. But in solving non-specific problems, a computer is still far from a human. Video surveillance systems have not yet learned how to reliably detect inappropriate or potentially dangerous behavior. Certainly, neural networks Here too they look promising, but there is a long way to go before the practical implementation of “a system that assesses the situation like a person does.”
Fragment of the article TK: Searching in video archives will make video surveillance much more effective.

Face recognition analytics

Panasonic presented new I-Pro SmartHD CCTV cameras with advanced business intelligence features. The analytical face recognition platform for use as part of the WV-ASM200 and WV-ASC970/WV-ASM970 software not only allows for real-time face recognition, but also maintains statistics of those caught in the camera's field of view, taking into account their gender and age, which also are recognized by the system.

In the case of searching for persons in a database, the result can be presented in chronological order, which allows you to analyze the movements of people.

As a rule, a video surveillance system that supports facial recognition analytics is built on cameras that can adapt to constantly changing environmental conditions: rain, snow, fog, changing lighting conditions - without compromising the quality of facial recognition. In addition, the standard camera software includes features such as automatic tracking and scene change detection: cameras can detect abnormal situations and analyze suspicious movement without operator control and immediately alert the control center.

All devices can be remotely controlled via smartphones or tablets using a special Panasonic application.

Articles

Select year: Select month:

Imou is a new brand of smart video surveillance
The slogan of the new brand: “IMOU - live wisely!”, which is reflected in the concept of easy installation, as well as the presence of basic video analytics functions

Facial recognition in a video surveillance system: why and how it works
There are two main ways to implement facial recognition in video surveillance. And each of them has its own advantages and disadvantages.
Think Value, Not Megapixels: How to Sell HD Security Cameras
Higher resolution is great in and of itself, but what really matters to security system integrators and users is that when implemented, it allows for a range of useful and interesting features.
Axis network technologies for surveillance and control
The comprehensive Axis system covers all key aspects of industrial plant security: protection against intrusion, ensuring the efficiency of production processes, compliance with occupational safety and health regulations.

Video surveillance system for a hardware store based on Synology
Following these repeated thefts, the building supply store decided to look for a cost-effective, centralized and flexible security solution.

High speeds and safety: Bosch equips the Misano race track in Italy
The Misano International Circuit was opened in 1972 near the town of Misano Adriatico in northern Italy and has become one of the most famous motorcycle racing tracks in the world.

What you need to know about video analytics before implementing it
If the video analytics system can run on a camera, it will likely require high-end camera models, since these cameras are equipped with the most powerful processors.
Behavioral analytics in video surveillance
Artificial intelligence technologies have made possible solution extremely difficult tasks. One of these tasks is the analysis of human behavior from images obtained using a CCTV camera. This new type Video analytics can be used to great effect in the public safety and commercial sectors.

AXIS Perimeter Defender - scalable perimeter protection tool
Axis has developed a highly reliable, scalable perimeter protection solution – AXIS Perimeter Defender. The video analytics application, combined with Axis network cameras, creates a highly effective system for automatically detecting people and vehicles.

A New Era of Smart Video Surveillance and Security
With the advent of IP cameras and cloud-enabled technologies, the video surveillance industry has changed rapidly. And yet there are even more potential opportunities.
Analytical capabilities of DVRs in analog video surveillance systems
If the goals and objectives of the video surveillance system are clear, then the correct
selection of equipment will significantly expand its capabilities.
In particular, we are talking about the analytical functionality of professional
DVRs.

Pelco ushers in a new era of intelligent video surveillance and security with technology alliance with IBM
When it comes to video surveillance tools and services, the industry has barely scratched the surface of what is possible today. This does not mean that progress has not been made to bring innovative cameras, IP video technologies, monitoring and detection systems to the market, but we can already say that the next important stage of development is on the horizon.

Thermal imaging video analytics
Thermal video analytics helps operators respond effectively to threats by providing necessary information at the right moment. But this is subject to proper configuration of the thermal imager.
Intelligent people counting function to optimize CCTV in stores
Axis CCTV systems with people counting support enable efficient collection and analysis of customer data.

Confidence in video analytics is being restored and demand for these technologies is growing
After a rocky start, improvements and more modern applications are restoring confidence in video analytics and increasing demand for the technology. When it comes to new advances in video analytics, everyone is interested not just in describing the technology, but in how it has changed and how it can be used in innovative applications.

IP video surveillance and analytics
In fact, such a panel is not just a call initiation device as part of an intercom system, but also a full-fledged IP camera as an additional monitoring and video recording tool for obtaining subsequent analytics and statistics.

Is video analytics relevant today?
Since their first introduction, intelligent video analytics systems have gone through stages of premature false heyday in terms of justified implementation of these solutions as a reliable and cost-effective addition to traditional elements of a TV surveillance system. Despite the fact that video analytics was predicted to have a promising future, the expected widespread implementation did not happen for a number of objective reasons.

Integration in security systems and the place of access control systems in them
Will the dominant place of access control systems (ACS) in integrated security systems (ISO) change? Will real IP technologies appear in ISO, and not just the use of Ethernet networks as communication channels instead of exchanging data over RS 232 or RS 485 interfaces? What are open protocols, and how to achieve them?

News

Select year: Select month:

A conference was held in Moscow dedicated to the emergence of a new brand. At the opening ceremony the General Director Dahua Technology Rus Zhao Shenbo emphasized: “IMOU is an IoT ecosystem that combines a cloud solution, smart devices and intelligent technologies. The brand’s ideology demonstrates how high-quality video surveillance and advanced technologies ensure the safety of home and business.”.

Traditional airport video surveillance systems contain a large number of video cameras, the monitoring service staff is quite large. Maintaining such systems requires a lot of human resources, which means that they extremely expensive to operate.

Company Axis Communications expanded the production line at the plant Jabil in Tver, one of Axis' production partners in Europe, due to high demand for the company's products. The lineup, presented at Russian production, has been replenished with cameras with new generation chipARTPEC-7, with elements of artificial intelligence. On this moment Axis' own production facilities produce 16 models of the most popular cameras on the Russian market. Thus, their number increased by 60% compared to 2016, when the company launched a local production line in Russia.

Company Dahua Technology, the world's leading provider of video-centric smart IoT solutions and services, introduced NVR 4.0 with a new user interface and a new interface that simplifies the user experience. New NVR 4.0 Supports major Dahua DVR models including NVR2000-4KS2, NVR4000-4KS2, NVR5000-4KS2, NVR4000-I, as well as NVR5000-I.

Company Axis Communications, a global leader in network video surveillance, presented a range of high-tech security solutions within Axis Partner Day 2019, which took place on October 22, 2019 in Moscow. In the event, the main themes of which were and cybersecurity, video analytics, specialized solutions for retail, transport and critical infrastructure, attended by industry experts, Axis specialists, as well as the company’s partners and customers.

IDIS, the largest manufacturer of integrated video surveillance systems in South Korea, invites you to take part in a short stream dedicated to IDIS Deep Learning Analytics (IDLA) video analytics and examples of practical cases.

Company Dahua Technolog y, the world's leading provider of smart IoT solutions and services, has released IVSS 2.0 (IVSS7000-I), updated series DVRswith the latest artificial intelligence algorithms with deep learning. This series opens up new possibilities for smart security solutions.

Axis Communications announced the release of economical and AXIS P5655-E high-performance PTZ network camera. It allows high-quality shooting in four zoom scenarios, and is also equipped new generation chip ARTPEC 7, which increases the power of analytics and image compression.

October 10 in Yekaterinburg will take place multi-brand practical seminar for installers, designers, security managers, where representatives are top officials of manufacturing companies ProxWay, ZKTeco, Stelberry and NOVIcam will talk about the latest technological advances that can be successfully integrated into modern systems security.

In September 2019 the annual IDIS Global Partners Summit (GPS) specialists in the field of security and video surveillance, which was attended by delegates from 23 countries. GPS participants learned about the latest developments in the field A.I., and also got acquainted with IDIS roadmap for 2020.

In full voice!

Axis Partner Day 2019 is a significant event in the field of security and video surveillance, which traditionally brings together leading industry representatives and Axis specialists, as well as the company’s partners and customers. The event will be held under the slogan “ In full voice!” – and will consist not only of presentations. This year, the goal is to talk with participants, exchange opinions, review the stories of implementation of Axis solutions at various sites, talk about market trends and hear the opinions of third-party experts.

Box IP Video Camera Series IDIS replenished new model in modular design DC-V3213XJ with 4.0 mm lens. A 2MP camera is optimal for compact video surveillance. The video camera consists from a remote miniature video module and the main unit, which are interconnected by UTP cable up to 30 meters long.

Newest technologies biometrics in video surveillance and professional audio recording. We invite you to attend a practical seminar October 10 for installers, designers, security managers.

Meeting with top officials of manufacturing companies for installers, designers, security managers.

IDIS, the largest manufacturer of integrated video surveillance systems in South Korea, invites you to take part in the training seminar “How to implement a project using IDIS equipment.” The event will be of interest to technical specialists from integrator companies, installers and installation organizations.

IDIS, South Korea's largest manufacturer of integrated video surveillance systems, invites you to participate in webinar to review the IDIS line of panoramic IP video cameras and their practical application.

Axis Communications expanded its portfolio of video surveillance products and solutions with the launch of a line of discreet and compact cameras AXIS M42, led indicator AXIS I/O Indication LED, and Axis Live Privacy Shield technology, which ensures people's privacy by applying masks to moving objects and has no analogues on the market. In addition to retail, these solutions can be used in healthcare, education, manufacturing and transport facilities.

Axis Communications has expanded its explosion-proof camera portfolio with two new models: XF Q1785 and XF Q1645.

AgencyMemoori , a consulting company based in Stockholm that provides independent market research, business analytics and consulting on Smart Building technologies, has published analytical material revealing the specifics of the Russianmarket of security systems, video surveillance and fire alarm systems. We present to your attentionforeign experts' views on the situation .

Software Video Management System (VMS) plays a huge role in IP video surveillance systems, providing operators with effective control and a seamless experience.

IDIS introduces the new DV-2116 video analytics appliance, which increases the power of video surveillance systems with accurate deep learning analytics.

IDIS introduces the new DC-S6283HRXL high-speed PTZ IP video camera with a powerful 36x optical zoom, autofocus, Hall sensor and LightMaster technology for optimal image quality, allowing you to see the smallest details of objects located hundreds of meters from the video camera itself.

Company Dahua Technology, the world's leading provider of IoT video surveillance solutions, has launched a series NVR4000-I with artificial intelligence, which included models DHI-NVR4208-8P-I, DHI-NVR4216-16P-I, DHI-NVR4216-I, DHI-NVR4416-16P-I, DHI-NVR4432-I and DHI-NVR4832-I.

From March 19 to 22, the main industry event of the year took place in Moscow - the International Exhibition Securika Moscow 2019 - the largest exhibition in Russia and the CIS countries technical means security and safety and fire protection equipment.

Company Tatris Hanwha Techwin, introduces a new high-speed PTZ IP camera Wisenet XNP-6550RH with 55x zoom.

Axis Communications produces automobile access systems with automatic license plate recognition in Russia.

Company Tatris, as an official distributor Hanwha Techwin, introduces a new network box camera with 32x optical zoom Wisenet XNZ-6320.

September 20 company Bosch Security Systems organized a real holiday for designers and integrators Bosch Security Fest 2018, took place in the center of Moscow!

Bosch Security Systems presents a solution In-Store Analytics, with which retailers will be able to obtain valuable information about the movement of customers in the store, optimizing operations, attracting customers and increasing sales.

IP Security Forum, organized annually by ITV | AxxonSoft celebrates its first anniversary - 5 years! Every year the scale and scope of the event grew, and this year it goes beyond Russia for the first time.

Company Tatris, as an official distributor Hanwha Techwin, is two new systems for small retail chains and enterprises, jointly developed by Hanwha Techwin and A.I Tech.

Company Dahua Technology, a leading global video surveillance solutions provider, has officially unveiled its first deep learning network video recorder, bringing artificial intelligence (AI) capabilities to a variety of applications.

Team Macroscop* took part with her own stand at the international exhibition IFSEC International 2018, which took place June 19-21 in London, UK.

Company Tatris, as a partner Panasonic presents new 360 degree dome 5 megapixel network cameras WV-S4150 And WV-S4550L.

Company IDIS at the exhibition ASIS 2017 in Dallas announced its own development in the field based on machine learning and artificial intelligence IDIS Deep Learning Analytics (IDLA) and outlined the prospects for deep video analytics in the industry.

Company Tatris, as an official distributor Hanwha Techwin, introduces a new analog camera for indoor installation Wisenet HCZ-6320P, made in a standard case and supporting work in two formats - AHD and CVBS. Availability of built-in zoom lens with maximum magnification 32x allows you to use the new product for video surveillance in a large space.

TD “Lider-SB” announces the availability of a new IP video camera Dahua DH-IPC-HDW4231EMP-AS-0360B-S2.

The Russian developer of distributed information systems, intelligent video surveillance systems, biometric facial recognition and - the Intra company - became a sponsor of the 8th Intelligent Video 2.0 conference at the All-over-IP 2017 forum.

On October 5, Murat Altuev, President of ITV, will speak at the IP Forum in St. Petersburg | AxxonSoft. in the report "Axxon Next - roadmap" he will talk about how the innovative video surveillance system and the company’s key technologies will develop.

TD "Leader-SB" announces new capabilities of the event video monitoring device CHEKTV III HD.

This autumn ITV | For the fourth time, AxxonSoft will hold the annual IP forum, bringing together leading manufacturers, distributors, integrators, installers and customers of security systems.

How to build a promotion strategy if specific measurable goals are not set?
How to objectively assess the quality of content when there is no competitor analysis?
How to analyze advertising effectiveness without dynamics based on key indicators?

Introductory: indicators of video content quality and promotion efficiency on YouTube

Keep in mind: you cannot focus on just one well-known and popular indicator. Complex processes such as business promotion, channel monetization, and video ranking depend on many factors. It is important to look at dynamics and, if possible, in comparison with competitors at the entire range of metrics.

Number of views and viewing time

Previously, views of a certain video / general views of a channel were an indicator of success: everyone tried to get them in any way, including cheating. Now doing this is not only harmful, but also pointless. Watch time and engagement rule the day, not the number of videos watched.

That is, it doesn’t matter how many times you watched the video – what matters is how long you did it. For example, 1 view lasting 10 minutes will be more valuable to the platform than 10 views of 30 seconds.

Watching time is one of the main ranking factors, this is written in the YouTube help.

True, there is often a good correlation between these indicators, which is noticeable in YouTube Analytics reports (more about the tool in the next section).

Subscribers, unique viewers, reach

The normal development of the channel is accompanied by a uniform growth of subscribers. Sharp jumps up may indicate successful advertising/PR moves or promotion, while a wave of unsubscribes may indicate problems with reputation or the release of low-quality content.

At the same time, the number of subscribers is almost always different from the number of viewers. Some followers will not notice your new videos, but they will attract a completely new audience: from recommendations, searches and external resources.

In addition to unique viewers and subscribers, it is also useful to look at reach ( total number impressions) and badge CTR (conversion from impression to view).

The higher the numbers, the better:

An increase in subscribers indicates that you are producing quality content.
The number of viewers shows how many people are watching your videos.
Reach shows how many times your videos were shown in searches, recommendations, and feeds.

Geography and age of the audience

It is important not only how they look, but also who looks. Advertisers are willing to pay more for views from Moscow than for views from the regions. By the same principle - users in Europe or the USA are more expensive than the audience in the CIS.

Engagement (likes/dislikes, comments, shares)

Engagement (ER) measures how viewers react to a video. According to Backlinko research, social reactions - likes, shares, comments - have a positive effect on the rating of videos.

High natural engagement is a powerful signal for business representatives and bloggers who want to buy direct advertising on the channel.

By the way, dislikes are not bad, the same level of engagement. This is a good sign for YouTube that the video is not indifferent to the audience and evokes emotions. You can go to “Trends” and find that the “trucks” of dislikes do not interfere with the videos at all.

An example of a video with a large number of dislikes, which, despite this, became a YouTube trend.

Number of videos and frequency of their release

The number of videos, frequency and regularity of their publication is an indirect but significant indicator.

Firstly, without a sufficient number of videos, it is unlikely that the conditions for channel monetization / participation in an advertising exchange or advertising network can be met. Secondly, subscribers will not be satisfied with what they have - they always want something new. Thirdly, an abandoned site or one that comes to life from time to time will not attract serious advertisers.

Here it is also important to understand which videos to publish. If you initially chose one topic, work on it further. And if you post reviews first, then “conversational” videos, then clips, you will lose ER. Your audience will only watch what is interesting to them, that is, a small part of the videos. Or even go to channels that cover one topic.

Internal tools - for a thorough analysis of your YouTube channel

Third-party tools and services may be more convenient, but internal tools should not be neglected. Only they (absolutely free) will provide detailed statistics on the audience, traffic sources, viewing time, etc.

YouTube Analytics

Problems that Clever solves:

Analytics of tags and their ratings.
Assessing video positions in YouTube search.
Collection of semantics (using Yandex, YouTube, Google Trends).
Engagement assessment (likes, comments, shares on social networks).

The plugin also helps create descriptions for videos (insert time codes, generate tags), add tips and annotations based on templates, etc.

TubeBuddy

TubeBuddy is a plugin for optimizing your channels and analyzing others; it has functionality similar to VidIQ. Works with Chrome and Firefox.

Tool capabilities:

Producing statistics on likes/dislikes, comments, video views and mentions on some social networks.
Determination of views, subscribers and number of videos on the channel.
Express audit of a vlog from an SEO point of view.

TubeBuddy also has auxiliary tools for comparing your channel/video with someone else’s, selecting and analyzing keywords and tags, advanced embedding. If this is not enough, you need more - then you can buy a paid tariff from $9 per month, it will provide access to additional functions– updating videos on a schedule, posting on Facebook, mass updating playlists, A/B tests and others.

Powerful services for detailed analytics of several social media

If a business representative, marketer or blogger works with several platforms at once, it may be more convenient and easier to do this through specialized SMM services. They allow you to collect statistics and analyze competitors from all platforms in one window: YouTube, social networks/messengers. Auto-posting functions are often included there.

EPICSTARS

Possibilities:

Statistics on subscribers, engagement, average number of views, number of videos.
Providing reliable data on the demographics and geography of the audience (information is loaded directly from a web analytics system, for example Youtube Analytics when a blogger connects his channel or another platform).
Displaying advertising costs, advertiser reviews, and content examples.
Safe transaction.

LiveDune

LiveDune – Russian service YouTube analytics, social networks and search for opinion leaders. In addition to YouTube, it works with VK, Instagram, Twitter, OK, Facebook. Without registration, you can see the top 100 channels on YouTube with the number of followers and total number of views. After registration, more detailed statistics are available.

Functionality:

YouTube statistics by audience (geography, gender, age), dynamics of involvement (likes/dislikes, comments), views.
Collecting and uploading comments to accounts/communities.
Tracking advertising campaigns of competitors, checking bloggers for cheating, etc.

A subscription to the service costs from 300 to 9,500 rubles per month.

Fanpage Karma

Fanpage Karma is a foreign service that, from a simple analyzer, Facebook pages has grown into a multifunctional SMM platform. Now it also works with Google+, Pinterest, Twitter, Instagram, YouTube.

What Fanpage Karma can do:

Determine the best types and formats of content, the optimal time for publication.
Evaluate business accounts based on KPIs (followers, response rate, engagement, etc.).
Compare unlimited amount pages, identify trends.

A plan with YouTube analytics support starts at $150 per month.

JagaJam

JagaJam is a Russian service for social network analytics, like LiveDune, focused on brands. Collects data from VKontakte, Facebook, Instagram, Odnoklassniki, Twitter, YouTube, Pinterest.

Possibilities:

Reporting on subscriber dynamics, engagement, content popularity, reach.
Assessing the effectiveness and quality of communication with social network audiences.
Retrospective indicators - for drawing up an SMM strategy and competitive analysis.
Finding the optimal time for publication, exporting reports, etc.

The minimum tariff is 4900 rubles per month.

Popsters

Popsters is a Russian service for analyzing 13 social networks and platforms. Works with YouTube, TikTok, Facebook, Instagram, Telegram, Odnoklassniki and other platforms.

To view statistics in the service you need to register. And then specify the URL of the desired channel. The system will show:

Information about the channel - the total number of likes, dislikes, views, comments, subscribers, percentage of engagement.
Detailed data for each video - number of views, likes, dislikes, comments, ER percentage.
General data on the channel in the form of graphs - activity by day of the week, time of day, subscriber growth, and so on.
Rating of videos on the channel by likes, dislikes, comments, views, ER, ERview and in chronological order.

Ratings can be filtered by the presence of text in the description, links, photos and other characteristics. And you can zoom in on any graph from the general data for a channel by simply clicking on it. The report can be downloaded from XLSX formats, PPTX and PDF.

The service costs from 399 rubles per month depending on the tariff. There is a free trial period of 7 days - you can upload up to 10 channels in one social network and download the result in XLSX format.

This is what the result of channel analysis looks like in Popsters

Ratings and catalogs of YouTube channels - for searching and evaluating tops and middlings

In order for a newcomer to constantly develop on YouTube, it is useful to focus on the more successful - the middle and top. You can follow the best in your field for free, and also understand how much you can earn approximately in their place - rating services or catalogs of YouTube channels will help. Large businesses that are more focused on image advertising can also use catalogs to pre-select advertising platforms. And to estimate how much you will have to pay for advertising integration.

Socialblade

Socialblade is a foreign service with a database of 24.5 million YouTube channels. It also collects data from Facebook, Twitter, Twitch, Instagram.

To see YouTube statistics, you don’t even need to register - just enter the channel name or URL in the field on the main page.

Statistics from Socialblade include:

Dynamics of subscribers, views, approximate channel earnings (meaning income from Google AdSense).
Rating the channel based on the platform’s own indicators (subscriber rank, video view rank, social blade rank, total grade).
Number of published videos, country and channel topic.

You can study statistics in retrospect for 2 years.

Whatstat

Whatstat is a Russian rating service similar to Socialblade. The database contains about 7,500 YouTube channels. Whatstat also collects data from Twitch.

The following statistics can be found on YouTube channels:

Subscribers, views, number of videos.
Registration date, estimated income.
Category.

Data retrospective – 3 months. Unlike Socialblade, ratings of 100/250/500 top channels in Russia are presented, as well as a breakdown of sites by topic (education, music, etc.).

But for selecting medium and small channels, obtaining more detailed statistics on sites, and secure cooperation, exchanges are more suitable. One of them - . The platform has 11,800 YouTube channels with a total reach of 500 million impressions. To analyze competitors or find a blogger for advertising integration, you just need to register. No subscriptions or lengthy moderations. You can quickly find suitable channels using filters, view statistics, examples of content and advertising integrations.

Catalog of YouTube channels on EPICSTARS - with statistics and filters

Briefly about the main thing

Watch time is more important than number of views; In addition to subscribers, you need to look at coverage; it is important to consider audience engagement and characteristics; It wouldn’t hurt to take a look at the amount of content and how regularly it’s published.
When analyzing your own YouTube channels, you cannot neglect an internal tool - a creative studio (YouTube Analytics). Additionally, you can connect Google Analytics: to collect semantics from channel searches, study traffic to individual pages, and calculate conversions based on the subscription form.
The following extensions are well suited for an express audit of your video blogs and convenient competitive analysis: VidIQ, Clever, TubeBuddy. Most of their features are free.
If, in addition to YouTube channels, you are promoting through social networks and instant messengers, it is worth considering multifunctional SMM services: for example, LiveDune, Fanpage Karma or JagaJam. True, they are paid and not cheap, unlike platforms for working with bloggers. It is easy to find competitors for analysis and partners for advertising, since the database contains about 40,000 sites.
To select advertising platforms and analyze competitors from the “middle” and “top” - rating services are well suited: the foreign Socialblade, the Russian Whatstat. Their ratings and catalogs of YouTube channels are available for free and without registration.
If a business is looking mainly for “newbies” and “intermediates” on YouTube, is targeting leads and is ready to work only on a safe deal, exchanges will be the best option. As a rule, they provide more statistics than rating and SMM services. Searching for bloggers for advertising or competitive analysis is available immediately after registration: no paid entry or lengthy application review.

This is all about how and where to look at channel statistics, video views, subscriptions and unsubscribes on YouTube and why you need to do this. Good luck!