The quest for creating something better is pushing the technology to new heights. Every day, experts are inventing something new, increasing the efficiency of the so-called machines. Artificial Intelligence took the capability of the devices to the next level by creating a tool that senses its environment and takes actions accordingly. Artificial Intelligence is spreading its wings and is making news in almost every sector like healthcare, automotive, finance, economics, art, advertising, hospitality, and even military. In recent years, AI has made possible Video surveillance analytics, which uses smart devices and software to analyze video through machines. 

According to the Artificial Intelligence Global Surveillance Index in 2019, out of 176 countries, Governments of seventy-five countries were using the intelligent video technology. Out of these 75 countries, 56 used Smart-Cities technology, 64 used Facial Recognition System, and 53 used Smart Policing. So, not only Companies, even Governments of different countries worldwide, are using the technology for security and defense. Know more about the latest AI technology of video analytics.

Why AI-based Video Surveillance Analytics?

There are certain limitations to human surveillance or analysis of the massive number of videos. The subject is not one video of a particular camera, and the concerned data includes the videos collected by cameras throughout the day, all 365 days in a year. It is not difficult to understand it is humanly impossible to ensure a thorough analysis of every minute video

Firstly, it is practically not possible to be equally alert throughout the day. Yes, there are cameras to capture all activities and movements of people in a particular zone. But the security personnel have to scan through the vast pile of recorded and live videos for any threats. Again, the span of concentration of human beings is limited, which might result in a slip of a video of a few seconds.

When it comes to security, even a few seconds gap could lead to severe consequences. Then, what is the solution to the problem? Technology has provided a guaranteed answer in the form of latest analytical Software. The Software scans the images and audios to recognize humans, objects, or events to ensure safety, without missing out even a single second of any video. 

What exactly is the science behind AI-based Video Analytics?

The technology of AI-based surveillance analytics uses machine vision based on algorithms to analyze the visuals. In layman terms, the system works like a flowchart and compares the visual it sees with the series of questions fed in the software. 

The AI asks itself whether the figure it sees in itself matches with the set of rules the programmer has set. If not, then it sends out an alert in real-time so that timely intervention can be taken to deal with the potential threat. The rules can be set even for a particular area that cannot be entered or a specific time restriction. Similarly, hundreds and even thousands of questions can be used to ensure the purpose of the surveillance analytics is fulfilled. 

It is essential to understand that the programmer has to lay down clear questions as criteria as the system is a ‘rule-based’ one. So, the secret to efficient surveillance system is the precise set of rules for which the user wants to be alerted. However, AI has recently forayed into a new ‘behavioral analytics,’ which follows a non-rule based process. The behavioral analytics is a self-learning form of AI with no initial program by the user and learns through observation of normal behavior. The technology is further developing into a sharper and better analytics system.

What does System Video Surveillance Analytics do?

The camera-based security system aims to enhance the surveillance capability and decrease the workload on security personnel. The primary purpose of the technology is to locate intrusion detection and security breach, following it with the generation of an alert. The technology aids enterprises in ensuring safety by detecting unusual incidents, objects, etc. The functionalities of AI analytics in video surveillance make possible:

Video Motion Detection

The technology defines visual changes or activity in a frame

Dynamic Masking

It is the virtual masking of video signal related to a particular area of interest.

Object Detection

It is used to detect an object or events like fire, smoke, as well as a person.

Recognition

Face recognition and number plate identification are used for locating people, cars, etc.

Flame and Smoke Detection

The video can identify fire or smoke based on various algorithms.

Shape Recognition

As the name suggests, it is used to identify shapes like squares and circles, etc.

Ego Motion Estimation

Here AI helps determine the location of the camera based on the output signal.

Tamper Detection

It deals with monitoring the tampering of any device like a camera or signal.

Style Detection

The style of the production process is determined through this.

Video Tracking

The technology helps to identify the location based on the signal of the video

Object Co-segmentation

It is used for joint classification and analysis of video signals. 

Video Error Level Analysis

It is used for joint classification and analysis of video signals. 

Video Error Level Analysis

It is used for the study of video tampering.

What are the Advantages of the Video Analytics System?

The use of intelligent video technology can be of immense benefit to organizations by detecting unusual incidents and generating alerts. Various techniques like face recognition, object recognition, event recognition, intelligent image processing, remote asset management, etc. are the modern face of camera surveillance. The numerous advantages of the system are:

  • The system is designed with a specific Intentionality and Intelligence, which makes available real-time data for preventive action.
  • It is a robust alerting system that could raise an alert when monitoring thousands of video sources at the same time.
  • The system has superior detection capabilities as it follows a comprehensive approach based on algorithms that help to address potential threats
  • The system provides for automated calibration, aiding in the improvement of accuracy while lowering installation and maintenance costs.
  • The AI-based system gives accurate data, which provides the organization with the power to control its resources efficiently.
  • It uses integrated analytic detection rules, improving security responsiveness, and real-time alerting.
  • The technology offers ease of Scalability and cost-effectiveness to the business.

Where is the Intelligent Video System applied?

This Surveillance Software is being widely used in various sectors. At present, the reach of technology is growing at a massive rate. Right from AI for the defense to Face recognition school attendance in education and Intelligent transport system applications in transportation and logistics – AI is making its presence felt everywhere. The various fields where it is currently applied are:

Education

Today, various educational institutes are using an AI-based attendance system like Smart Identification, which uses facial recognition for school attendanceAs it is based on artificial intelligence, it saves time and resources while minimizing errors. The Software can be accessed even with a simple smartphone making it even more comfortable and efficient to be used at various levels in schools, colleges, universities, etc.

Defense

Artificial Intelligence in Defense is used for target detection with the help of ISAR images. The system is capable of functioning with precision in all weather conditions. As a result, the forces get the benefit of a highly specialized automated system of target identification and enhanced surveillance of air, land, and sea.

Transportation and Logistics

The problem of increasing traffic jams and congestion, an Intelligent Transport Management System has been developed. The application of an intelligent transport system helps in reducing pollution, boosts economic growth, and access to real-time analytics. Apart from this, the Software can also be useful in maintaining security on the bus, train, and metro rail stations.

Insurance

AI is used by Insurance Companies today for an automated risk assessment of a property. The use of Smart Identification technology enables accurate estimation through machine learning and computer vision.

Businesses

Smart Verification technology uses portable face verification as an Identity and Fraud management solution. The AI attendance system is capable of register an employee’s attendance from any place and at any time.

Agritech

The technology has enabled soil and crop monitoring by using AI-enabled cameras through drones. The technology analyses the images to detect diseases, plant nutrition, and other problem areas.

Retail Sector

The retail sector has to undertake the task of managing a large number of people without jeopardizing the security of property, people, and stock of products. The retail analytics helps to accomplish queue Management, people counting, and other functions that help in smoothly providing service. It also aids in detecting suspicious people, unattended objects, and tampering of any device. 

Banking

It is essential to observe any suspicious activity in various banks and their branches. So, AI-based surveillance analytics aid in detecting suspicious people, unattended objects, and tampering of any device. 

Energy Facilities

Some industries, like energy plants, chemical plants, power plants, and nuclear facilities, deal with strong chemicals or hazardous materials. Hence, real-time detection and timely alerts with the help of Surveillance analytics are essential to prevent accidents and attacks.

The future of AI may hold many more opportunities apart from the present uses like applications of the intelligent transport system, AI in defense, face recognition technology, etc. The whole system of video surveillance has developed from a simple CCTV Camera to an AI-based surveillance analytics system.


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