The need for enhanced security monitoring and protection has led to rapid development in the field of security monitoring technology. Statistics show that by last year, more than $114 billion had been spent globally on information security products. More innovative solutions are being introduced in the market to address all levels of security applications. AI’s use for surveillance and security is one of the many life-changing benefits of AI.

How does AI work?

AI for video surveillance and security Artificial intelligence technology that uses machine learning-based and AI algorithms to monitor and analyze images, videos, and data recorded from video surveillance cameras. AI can also identify and analyze the movement of people, vehicles and various objects.

The AI can use machine-based vision to sort and identify stored data and send an alert to the user if the system does not recognize an alarm to indicate a user intrusion. AI can record surveillance from hundreds of thousands of cameras, making it far more capable than humans.

What’s more interesting is that AI can detect and predict security threats before they actually occur. With AI algorithms and deep learning, AI can identify the most subtle changes in the normal behavior of a network and can prevent potential attacks.

The type of ai security

Two types of AI security are known:

** Rules-based: ** This is a more common form of AI intelligent security technology. In this type of program, the programmer uses pre-designed rules to provide data to the system. For example, the video surveillance cameras you see working on rule-based AI systems.

** Behavioral analysis: ** This is a novel form of AI intelligent security technology. Precoded programs are not required as previous rule-based AI security techniques. Behavioral analysis is a self-learning AI technology in which artificial intelligence systems automatically detect, learn, and study normal human behavior and the operation of the surrounding environment. The AI-based system then categorizes the data accordingly and alerts if it detects any unusual behavior.

How can AI improve surveillance and security?

AI offers real-time monitoring and intelligent analysis of the acquired data to contain all aspects of security concerns. These ideas have been widely used in public places, from airports to retail stores, to help monitors spot any unusual activity. AI can be more reliable and accurate than the human eye, ensuring that no data or information is lost.

Ai also provides advanced face, object and event recognition technology. These can be used in the security system to achieve collaborative work to enhance the security capability. In recent years, with the rapid development of AI, facial recognition technology has also been integrated into our smartphones and related devices.

Incorporating AI into security also eliminates the problem of low-resolution image processing. So far, most images captured by video surveillance cameras are mostly of poor quality. Therefore, detecting potential security risks from these images is a difficult task. As a result, AI is now used to sharpen low-resolution images and has proven to be a right-hand man for video and image analysis.

How can AI technology be used in real world scenarios

AI has been heavily used in China’s security video surveillance programs. In the security monitoring industry, artificial intelligence technologies such as machine vision, image processing, pattern recognition and deep learning are mainly integrated, which is also the basis of video content understanding and analysis.

Security industry chain:

Upstream, including video algorithm providers, chip manufacturers, image sensors, lens modules and other core components;

Midstream, including hardware suppliers, software service providers, system integrators, operation service providers;

Downstream, for terminal industry applications, involving government, public security, transportation, finance, civil and other fields;

Application scenarios:

1) Smart city

Smart city construction emphasizes more intelligent perception of the city, intelligent security based on the video surveillance system, according to the content of the surveillance video, TSINGSEE video structured intelligent analysis platform EasyCVR can turn the video content into more valuable information, and the combination of big data and cloud computing technology can form a huge resource information base. It provides powerful information support and auxiliary decision support for the construction of smart city, and improves the fine management level of smart city.

2) Smart traffic

TSINGSEE video intelligent monitoring can effectively complete the automatic monitoring of vehicle speed reduction, vehicle going the wrong way, traffic jam, road smoke and fire, and predict and analyze the traffic flow, speed, vehicle type and emergency degree of emergencies, so as to provide necessary data support for safe road operation and rescue of dangerous situations.

3) AI technology in the digital field

Cyber security has always been a troubling issue in today’s digital world. Virus attacks, deployed by hackers to disrupt and dismantle systems, are a frequent concern. The future of cyber security is in the hands of ARTIFICIAL intelligence and machine learning, as they are being used to counter malefactors in response to sustained cyber attacks.

In the digital realm, AI is nothing more than a saviour. Cyber security products on the market increasingly rely on AI and machine learning technologies to reduce the amount of time needed to detect any unusual threats and improve the productivity of data workers.

conclusion

The demand for AI talent is growing almost exponentially as companies recognize the need to integrate AI technology to increase productivity and protect business processes. However, AI talents are scarce and expensive. The demand for TALENTS in THE FIELD of AI has increased rapidly, and basic research talents have become the biggest demand point.

The national “new infrastructure” has incorporated artificial intelligence into it. At the same time, benefiting from the rapid development of deep learning algorithms, AI intelligent security technology has been more and more widely used (such as TSIINGSEE Qingxi video cloud edge architecture security video cloud service EasyCVR), and the landing of ARTIFICIAL intelligence technology has also developed rapidly. However, there are still more technical innovation points to be broken through in the application scenarios, and the future development space is large and the market potential is infinite.