YouTube TV Analyst. "YouTube Analytics" section in the classic version of Creative Studio

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 problem situations.

3. A person will make a mistake anyway.

It must be clearly distinguished that special lab video analytics is not based on object detector , as is done by the vast majority of firms, but only uses Object Detector as a composite, and, moreover, not the most significant element, of which there are a lot in the system.

The highest degree of practicality is built on VIDEOSEMANTICS.

Video Analytics "Attention!" 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 makes them perform non-standard actions. All this, as well as any new changes in the frame, finds 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 in them. 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 the control of traffic, the detection of accidents, traffic violations, the protection and search for vehicles.

Video analytics "Attention!" - it's just a convenience, not a panacea for all ills. Instead of constant and every second monitoring of the mass of monitors, she suggests only occasionally paying attention to the indicated points, which, moreover, go sequentially on one monitor, moreover, only on its 1/10th part. And besides, they do not disappear from the screen for a long time, making it possible to be distracted, go to the toilet or watch a beautiful goal of a football match.

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

What is video surveillance really?

Often there is 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 we already want to replace all technical security equipment with it. And the problem is not in the quality of the technology, but in the sense 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 characteristic of 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 man in the distance. And don't dust them. The main thing in the process of video surveillance is a person. If we throw it away, then there is no video surveillance. Video surveillance is like a person is in a place where there is a camera, and sees everything that happens. Let through the slumber, but he sees. Given its selectivity, it does not react to interference such as swaying branches, birds, etc., and is also able to assess the adequacy of passing people to an object at a glance (albeit not always).

So let's leave these functions for video surveillance, we will not replace them with anything, we will only make it so that a person can comfortably feel his simultaneous presence in hundreds of places at once of a large number of video cameras. In addition, he could watch TV or even sleep, if he really wanted to, and generally experience as little discomfort as possible. We will still not 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, it makes no sense to drive 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 a video surveillance system and a person.

Video analytics- this is a kind of air conditioner for the brains of the operator, do not confuse it with the brains themselves.

We are not fighting criminals, everything has already been invented to fight them. To see everything around, there is video surveillance. To protect the buildings, there is a burglar alarm. To counteract the attack, there are guards and police. We are fighting the inattention of the operator, the carelessness of the owner, the drowsiness of the guard, ... - we are fighting the human factor!

Video analytics (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 that allow you to analyze video without direct human intervention. Video analytics is used as part of intelligent systems video surveillance (CCTV, CCTV), business management (business intelligence, BI) and video search.

Video analytics features.

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

Object detection As a rule, detection of objects in the field of view of the camera is carried out 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 movement is not a sufficient sign to localize an object in a frame, then detection can be performed using templates. For example, the detection of people's faces, car license plates or the detection of sedentary marine targets.

Object tracking. Tracking (tracking) algorithms make it possible to obtain a particular 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 "one disturbing 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 features and absolute sizes, 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 allow you to identify people by biometric features of the face or vehicles - by license plates. Identification can be done using additional funds beyond video analytics: based on fingerprint, bank card, ticket, pass or mobile device ID.

Detection (recognition) of situations. Video analytics allows not only to select objects from streaming video, but also to recognize alarming situations based on behavior analysis this object, which does not allow to do a conventional video surveillance system. Also, situational video analytics can automatically detect the crossing of a signal line, falling people, forbidden parking, and fires.

The results of video analytics work are events (messages) that can be transmitted to the operator of the video surveillance system or recorded in the video archive for subsequent retrieval. In addition, video analytics generates metadata, i.e. data structures that describe the content of each frame of a video sequence. Metadata contains such information as the location and identifiers of objects (usually in the form of an alarm frame), the trajectory and speed of the movement of objects, data on the separation or merging of objects, data on the occurrence and end of an alarm situation. Metadata is written to the video archive and played 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, intrusion detection and crossing the signal line in the "sterile zone". A feature of perimeter video analytics is relatively rare violations (therefore, the zone is called “sterile”), but the shape and type of the object cannot be clearly defined, for example, a person can crawl or ride a bicycle.

Situational video analytics(situation video analytics) is used to recognize alarming situations related to the behavior of people or the movement of vehicles. Situational video analytics can work based on rules set by the user (for example, prohibited parking in a given area), or based on accumulated statistics (for example, detection in the park twice as many people 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 faces by biometric features of the face. Classical biometrics uses "black" and "white" lists to compare images of people. Biometric video analytics can handle more complex scenarios, such as profiling people or correlating observations from multiple cameras in a wide area surveillance network.

Number video analytics(number plate reading) is used to recognize license plates of cars, as well as to analyze their movement according to multiple cameras.

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

Architecture of the video analytics system.

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

Server video analytics (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-side video analytics is the ability to combine video analytics algorithms on a single hardware platform. The main drawback of server-side video analytics is the need for continuous video transmission from the video data source to the server, which creates a load on communication channels.

Embedded video analytics (edge ​​video analytics) implemented directly in the source of video data, that is, in the cameras in the encoders. Embedded video analytics runs on a dedicated processor (DSP, ASIC, FPGA, ARM or x86 architecture) of the device and transmits the results (metadata) along with the video stream. The main advantage of embedded 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, embedded 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-side and embedded video analytics, in which processing is distributed between the video source and the central equipment. For example, in multi-camera tracking systems, object detection is performed in the video data source, and comparison of results between multiple sources is performed on the server.

Ways to identify alarm situations.

There are the following ways to set up video analytics for automatic recognition of alarm situations:

Rule-based video analytics(rule-based video analytics) is the most common type of video analytics, in which the user defines in advance the rules that determine the alarm events. For example, the user can define a restricted area where people are not allowed or a restricted area for parking cars.

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

General benefits of video analytics.

The main advantage of video analytics over conventional video surveillance systems is the automatic extraction of metadata from the video data stream without the participation of an operator. The resulting metadata can be used to quick search in the video archive, sending alarm notifications and collecting 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 video data (more than 99%) in video surveillance systems is of no interest to users, video analytics can dramatically reduce the load on communication channels and the archiving system by filtering out unnecessary video data.

existing problems.

The main problem of many implementations of video analytics is high frequency false positives, which quickly reduces the economic impact 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 reduced due to the emergence of open standards, such as ONVIF, simplification of calibration procedures and video analytics settings.

International standards.

Intelligent video surveillance in general and video analytics in particular are at an early stage of standardization. The following international organizations develop data and control interfaces for video analytics systems:

ONVIF (Open Network Video Interface Forum) brings together about 500 manufacturers and has strong positions in Russia, Europe and Japan. Describes the interaction interfaces 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) brings together about 65 manufacturers and has a strong presence in North America. A distinctive feature of PSIA is the use of the POST protocol. Compared to ONVIF, the PSIA interface is easier to implement, but less flexible and scalable.

CAP (Common Alerting Protocol) is an alarm messaging protocol. 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 the introduction of video analytics is more noticeable in large geographically distributed video surveillance networks. As technology becomes cheaper, video analytics becomes attractive to households and small businesses.

• 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 the effectiveness of advertising without dynamics by key indicators?

Introductory: indicators of the quality of video content and the effectiveness of promotion on YouTube

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

Number of views and viewing time

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

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

Watch 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, this is noticeable in YouTube Analytics reports (more on 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 can indicate successful advertising / PR moves or cheating, and a wave of unsubscribes can indicate problems with reputation, the release of low-quality content.

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

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

The higher the number, the better:

• The growth of subscribers indicates that you are releasing quality content.
• Viewer count shows how many people are watching your videos.
• Reach shows how many times your videos were shown in search, in recommendations, in 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 United States are more expensive than the audience of the CIS.

Engagement (likes/dislikes, comments, shares)

Engagement (ER) measures how viewers react to a video. According to a Backlinko study, social reactions - likes, shares, comments - have a positive effect on video ratings.

High natural engagement is a powerful signal for businesses and bloggers who want to buy direct ads on the channel.

By the way, dislikes are not bad, the same involvement. This is a good sign for YouTube that the video is not indifferent to the audience, it evokes emotions. You can go to the "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, fell into YouTube trends

The number of videos and the regularity of their release

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

Firstly, without a sufficient number of videos, it is hardly possible to fulfill the conditions for channel monetization / participation in an advertising exchange or advertising network. Secondly, subscribers will not be satisfied with what they have - they always want something new. Thirdly, an abandoned or occasionally reviving site will not attract serious advertisers.

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 they are interested in, 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 cannot be neglected. Only they (absolutely free) will give detailed statistics on the audience, traffic sources, viewing time, etc.

YouTube Analytics

Tasks that Clever solves:

• Analytics of tags and their ratings.
• Evaluation of the position of the video in the search "YouTube".
• Collection of semantics (by Yandex, YouTube, Google Trends).
• Engagement assessment (likes, comments, shares in social networks).

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

tubebuddy

TubeBuddy is a plug-in for optimizing your own channels and analyzing others' ones, it has functionality similar to VidIQ. Works with Chrome and Firefox.

Tool Features:

• Issuance of statistics on likes / dislikes, comments, video views and mentions in some social networks.
• Determination of views, subscribers and the number of videos on the channel.
• Express audit of a video blog in terms of SEO.

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 plan from $ 9 per month, it will open access to additional features - scheduled video updates, Facebook posts, mass playlist updates, 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 / instant messengers. Auto-posting functions are often connected there.

EPICSTARS

Possibilities:

• Statistics on subscribers, engagement, average number of views, number of videos.
• Issuance of 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 other platform).
• Show ad cost, advertiser reviews, content examples.
• Safe transaction.

Live Dune

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

Functionality:

• YouTube statistics by audience (geography, gender, age), engagement dynamics (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 9500 rubles per month.

Fanpage Karma

Fanpage Karma is a foreign service that, from a simple analyzer Facebook pages grew into a multifunctional SMM platform. Now 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 by KPI (subscribers, response rate, engagement, etc.).
• Compare an unlimited number of pages, identify trends.

A tariff with support for YouTube analytics costs from $150 per month.

JagaJam

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

Possibilities:

• Reporting on subscriber dynamics, engagement, content popularity, reach.
• Evaluation of the effectiveness and quality of communication with the audience of social networks.
• Indicators in retrospect - for drawing up an SMM strategy and competitive analysis.
• Finding the best time for publishing, 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:

• Channel information - the total number of likes, dislikes, views, comments, subscribers, percentage of involvement.
• Detailed data for each video - number of views, likes, dislikes, comments, percentage of ER.
• General data on the channel in the form of graphs - activity by day of the week, time of day, subscriber growth, and so on.
• Video rating 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 any graph from the general data for the channel can be zoomed in by simply clicking on it. The report can be downloaded in XLSX, PPTX and PDF formats.

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 how the result of channel analysis in Popsters looks like

Ratings and catalogs of YouTube channels - for searching and evaluating tops and middle peasants

In order for a newcomer to YouTube to constantly develop, it is useful to focus on more successful ones - middle peasants and tops. Follow the best in your field for free, as well as understand how much you can earn in their place - rating services or YouTube channel catalogs will help. A large business that focuses more on image advertising may also use catalogs to pre-select advertising sites. And to estimate how much you will have to pay approximately for advertising integration.

socialblade

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

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

Statistics from Socialblade include:

• Dynamics by subscribers, views, approximate channel earnings (meaning income from Google AdSense).
• Channel rating based on the platform's own indicators (subscriber rank, video view rank, social blade rank, total grade).
• The number of videos published, the country and the subject of the channel.

You can study the statistics in retrospect for 2 years.

whatstat

Whatstat is a Russian rating service similar to Socialblade. There are about 7500 YouTube channels in the database. Whatstat also collects data from Twitch.

On YouTube channels, you can find the following statistics:

• Subscribers, views, number of videos.
• Date of registration, estimated income.
• Category.

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

But for the selection, including medium and small channels, obtaining more detailed statistics on sites, safe cooperation, exchanges are more suitable. One of them - . The platform has 11,800 YouTube channels with a total coverage of 500 million impressions. To analyze competitors or find a blogger for advertising integration, you just need to register. No subscriptions and lengthy moderation. 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

• Watch time is more important than number of views; in addition to subscribers, you need to look at coverage; it is important to take into account the involvement and characteristics of the audience; It doesn't hurt to take a look at the amount of content and how often it's posted.
• When analyzing your own YouTube channels, you can not neglect the internal tool - a creative studio (YouTube Analytics). Additionally, you can connect Google Analytics: to collect semantics from the channel search, to study the traffic of individual pages, to calculate the conversion by the subscription form.
• For an express audit of your video blogs and convenient competitive analysis, extensions are well suited: VidIQ, Clever, TubeBuddy. Most of their features are free.
• If, in addition to YouTube channels, there is promotion on social networks and instant messengers, it is worth considering multifunctional SMM services: for example, LiveDune, Fanpage Karma or JagaJam. True, they are paid and expensive, in contrast to the platform for working with bloggers. It is easy to find competitors for analysis and advertising partners on it, since there are about 40,000 sites in the database.
• To select sites for advertising, analyze competitors from the "middle peasants" and "tops" - rating services are well suited: foreign Socialblade, Russian Whatstat. Their ratings and catalogs of YouTube channels are available for free and without registration.
• If a business is looking for mostly "beginners" and "middlers" on YouTube, is focused on 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. The search for bloggers for advertising or competitive analysis is available immediately after registration: no paid entry or long application processing.

It's all about how and where to view channel statistics, video views, subscriptions and unsubscribes on YouTube and why you need to do it. Good luck!

MarketsandMarkets: Video Analytics Market Development Forecasts 2017-2022

Video analytics market to grow from $2.61 billion in 2017 to USD 11.17 billion by 2022, with cumulative 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, the demand for efficient algorithms for processing a growing array of data.

Facial recognition fuels the growth of the video analytics market, thanks to the increasing recognition 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 powerful application, which can be easily deployed to improve security.

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

Experts predict that on-demand video analytics will be the most efficient business model.

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 call: 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

Impact of video quality on analytics capabilities

As the resolution of surveillance cameras grows, the possibilities and functionality of video analytics expand. Video analytics companies rely heavily on current models of megapixel video cameras. However, even private companies do not always have sufficient budget for rapid system upgrades. As for state projects, in addition to the allocation of funds, it is necessary to overcome bureaucratic barriers from prescriptions and approvals.

Therefore, some manufacturers develop video analysis software that is not even of very good quality.

"Our algorithms work even with a video stream that has low frequency frames or low resolution, which is traditional for fragments that are most often used in criminal investigations. We provide a complete reporting package including annotation, editing, clarification and storyboarding", says Sarah Doyle, Managing Director of Kinesense.

Using video analytics based on cloud platforms

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

At the same time, from an algorithmic point of view, the analysis of a video archive is simpler than the analysis of a situation in real time. When something has happened, the signs of the event whose record is to be found are already known. For example, it can be a description of eyewitnesses, a sketch of a suspect, or a car number. Therefore, it is not necessary to pre-configure the detectors for unknown alarm situations. It is enough to analyze the video at the time of recording, extract raw data from it, which can be searched for, and save them. These data include biometric characteristics of faces, recognized car numbers and metadata describing the movement of objects in the frame, their coordinates at different points in time, size, color.
The more information is extracted from the video stream during recording, the more search opportunities there will be in the future.
Fragment of the article TK:.

Video Surveillance as a Service enables a new analytics business model: a one-time request to examine video for any event detection. The customer uploads the video archive to cloud server, where the provider's tools search for 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 feature that provides convenient traffic management and parking services. For example, ALPR allows you to track the number empty seats in the parking lot, which is more cost effective than using ultrasonic and magnetic sensors.

In addition, automatic number recognition can be used when integrating with payment systems: parking time is fixed by ALPR; write-off Money for parking going in automatic mode from the attached electronic wallet, replenished by the user.

Another feature that improves ease of use and speed of response is the possibility of pre-registration for events: the system analyzes information about the 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 the mechanisms of video analysis, moving from the analysis of events that have already occurred to their prevention.

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

Face Recognition Analytics

Panasonic introduced new I-Pro SmartHD surveillance cameras with advanced business intelligence features. The Face Recognition Analytic Platform for use with the WV-ASM200 and WV-ASC970/WV-ASM970 software not only allows real-time face recognition, but also keeps statistics of those caught in the camera's field of view based on their gender and age, which also recognized by the system.

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

As a rule, a video surveillance system that supports face 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 face recognition. In addition, the camera software standard includes functions such as automatic tracking and scene change detection: the 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 dedicated Panasonic app.

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  Artificial intelligence technologies have made possible solution extremely challenging tasks. One of these tasks is the analysis of people's behavior from the image obtained with the help of a video surveillance camera. This new type of video analytics can be applied with high efficiency in the public safety and commercial sectors.

• AXIS Perimeter Defender - scalable perimeter protection
  

  Axis has developed AXIS Perimeter Defender, a highly reliable and scalable perimeter defense solution. A video analytics application combined with Axis network cameras creates a highly efficient system for automatic detection of people and vehicles.

• A new era of intelligent video surveillance and security
  

  With the advent of IP cameras and cloud-enabled technologies, the video surveillance industry has changed rapidly. And yet the potential is even greater.

• Analytical capabilities of video recorders 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
  video recorders.

• Pelco ushers in a new era of intelligent video surveillance and security with a technology alliance with IBM
  

  When it comes to video surveillance tools and services, it turns out that the industry has so far barely tasted what is possible to implement today. This does not mean that there has not been progress to bring innovative cameras, IP video transmission technologies, monitoring and detection systems to the market, but already now we can say that the next important stage of development is already on the horizon.

• Thermal imaging video analytics
  

  Thermal imaging video analytics helps the operator to effectively respond to threats by providing the right information in right moment. But this is subject to the correct setting of the thermal imager.

• Intelligent people counting function to optimize the video surveillance system in stores
  

  Axis video surveillance systems that support people counting enable efficient collection and analysis of customer data.

• Confidence in video analytics is recovering, and demand for these technologies is growing
  

  After a not-so-great start, improvements and more modern applications are reclaiming confidence in video analytics and seeing a rise in demand for these technologies. When it comes to new advances in video analytics, everyone is interested not just in describing technologies, but in how they have changed and how they can be applied to 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 a period of premature false blossoms in terms of the sound adoption of these solutions as a reliable and cost-effective addition to the 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 ACS 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 data exchange via RS 232 or RS 485 interfaces? What are open protocols, and how to live up to them?

News

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




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




Company Axis Communications expanded the production line at the factory Jabil in Tver, one of Axis' manufacturing partners in Europe, due to the high demand for the company's products. The lineup, presented at the Russian production, replenished with cameras with next generation chipARTPEC-7, with elements of artificial intelligence. On this moment Axis own production facility produces 16 models of cameras most in demand 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 intelligent IoT solutions and services, has unveiled NVR 4.0 with a new user interface and a new interface that makes the user experience easier. New NVR 4.0 Supports major Dahua DVRs, including NVR2000-4KS2, NVR4000-4KS2, NVR5000-4KS2, NVR4000-I, and NVR5000-I.

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




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 case studies.




Company Dahua Technolog y, the world's leading provider of smart IoT solutions and services, has released IVSS 2.0 (IVSS7000-I), updated series video recorderswith the latest deep learning AI algorithms. 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 you to shoot high-quality shooting in four scenarios with zoom, and is also equipped with new generation chip ARTPEC 7, which enhances the power of analytics and image compression.




October 10 in Yekaterinburg will take place multi-brand workshop for installers, designers, heads of security services, where representatives of the first persons of manufacturing companies ProxWay, ZKTeco, Stelberry and NOVIcam 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) experts 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 AI 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 is traditionally attended by leading representatives of the industry and Axis specialists, as well as partners and customers of the company. 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 to the participants, exchange views, review the implementation stories of Axis solutions at various sites, talk about market trends and hear the opinion of third-party experts.




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




The latest biometric technology in video surveillance and professional audio recording. We invite you to attend a practical seminar October 10 for installers, designers, heads of security services.




Meeting with the first persons of manufacturing companies for installers, designers, heads of security services.




IDIS, the largest manufacturer of integrated video surveillance systems in South Korea, invites you to participate in the training seminar "How to implement a project on IDIS equipment." The event will be of interest to technical specialists of integrators, installers and assembly organizations.




IDIS, the largest manufacturer of integrated video surveillance systems in South Korea, invites you to participate in IDIS Panoramic IP Camera Lineup Webinar and their practical application.




Axis Communications expanded its portfolio of video surveillance products and solutions with a line of discreet and compact cameras AXIS M42, led indicator AXIS I/O Indication LED, and Axis Live Privacy Shield technology, which ensures the privacy of people by applying masks to moving objects and is unparalleled in the market. In addition to retail, these solutions can be used in healthcare, education, manufacturing and transportation facilities.

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




AgencyMemory , a consulting company based in Stockholm that provides independent market research, business intelligence and advice on smart building technologies, has published an analytical material that reveals the specifics of the Russianmarket of security systems, video surveillance and fire alarm systems. We bring to your attentionview of foreign experts on the situation .




Video Management Software (VMS) plays a huge role in IP video surveillance systems, giving operators effective control and ease of use.

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




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

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

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

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




Axis Communications produces car 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 arranged a real holiday for designers and integrators Bosch Security Fest 2018, held in the center of Moscow!




Bosch Security Systems presents a solution In Store Analytics, with which retail stores can gain valuable insights into the movement of shoppers in the store, streamlining 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 for the first time it goes beyond Russia.




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 for the first time it goes beyond Russia.

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, the world's leading provider of video surveillance solutions, officially unveiled its first deep learning NVR, bringing artificial intelligence (AI) capabilities to various areas applications.




Team Macroscop*participated with 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 domed 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. Built-in zoom with maximum magnification 32x allows you to use the novelty for video surveillance of a large space.




Trade House "Leader-SB" announces the sale 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 face recognition and Intra became a sponsor of the 8th Intelligent Video 2.0 conference at the All-over-IP 2017 forum.

Murat Altuev, President of ITV, will speak at the IP forum in St. Petersburg on October 5 | Axxon Soft. in the report "Axxon Next - Roadmap" he will talk about how the innovative video surveillance system and key technologies of the company will develop.




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




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





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





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

YouTube Analytics contains graphs and reports that help you track the performance of your videos and the channel as a whole. Various reports (eg Watch Time, Traffic Sources, Demographics) contain a huge amount of data.

Where is the section "YouTube Analytics"

To access YouTube Analytics reports, go to this link or do the following:

View data in YouTube Analytics

Below you will find basic information on how to view and understand the different types of data in YouTube Analytics reports.

On the computer

Many reports have filters at the top to make it easier to find the information you need. Data can be filtered by:

• content
• device type;
• location
• time range;
• content type ("Videos" or "Playlists");
• user status;
• type of playback (broadcast or video on demand), if possible;
• the YouTube product (if applicable);
• content language.

On a chart with several lines, you can study the dynamics of video and channel views, as well as find out which regions viewers from which watch your channel more often than others. Up to 25 indicators can be compared at the same time.

By default, the top five positions are selected, represented by lines of different colors. However, you can choose to view any content that interests you.

In addition, the selected items can be compared with the total value. To do this, check the box Final data in the upper right corner.

Note. It is not possible to add other indicators in such a chart.

An area chart (combined bar chart) shows how the selected data is related to the totals. This makes it easy to compare performance and identify trends.

By default, the bar chart displays the top five metrics. Up to 25 indicators can be compared at the same time.

You can display up to 25 indicators on a pie chart. Hover over a sector to see what it corresponds to.

Note. On this chart, you can not see the temporal dynamics and compare a single indicator with the final data. To do this, use a multi-line chart or a combined bar chart.

On the histogram, the data is presented in the form of horizontal bars, the length of which is proportional to the value of the indicator. You can't see time dynamics on this chart. To do this, use a line chart.

Note. In this chart, it is also not possible to compare a single measure with totals.