Application of artificial intelligence in security field

With the continuous development of modern technology, artificial intelligence will have a great impact on all walks of life, from medical to education. From finance to entertainment. Artificial intelligence is used in all walks of life. In the large security market of civil defense, physical defense, and technical defense, artificial intelligence is also playing a role. It has become a popular trend and will be the future development direction. So, what are the applications of AI technology in the security market?

##1. Public Security Industry

#The application in the public security industry is mainly used to screen and track criminal suspects clue. We all know that almost everywhere you walk on the streets of the city, you can see surveillance cameras working 24 hours a day. The data collected by so many surveillance cameras is also immeasurable. So how can we screen out criminal suspects as quickly as possible? Where are the clues? At this time, AI can play its powerful role. Artificial intelligence can quickly help people filter out criminal suspect information and quickly convey it to the front end. It can often process data that takes several days to process in a few minutes, saving valuable time for the police to arrest criminal suspects. .

2. Transportation field

I don’t know how many traffic accidents occur every year How much, without a reasonable management system, it will undoubtedly become very troublesome. In the field of urban transportation, pure license plate recognition technology can no longer meet actual needs. The industry is eager to extract more diverse vehicle information faster and more accurately. In addition to the license plate number, there are also vehicle manufacturer plates, body colors, vehicle brands, Vehicle type, vehicle features, etc. Supports rapid retrieval based on vehicle appearance features. These features have extensive and urgent application needs in criminal case investigation, traffic accident processing, traffic hit-and-run, and automatic recording of illegal vehicles.

3. Community building field

Community building is another major application field of AI security in addition to public security and transportation. AI security products in the field of community buildings can be divided into two major categories. One is intelligent video surveillance systems with AI cameras as the core; the other is facial recognition access control and intelligent traffic equipment such as building intercoms and license plate recognition barriers. Against the background of strong support from national policies, and with the continued advancement of key tasks such as the renovation of old residential communities in cities and towns across the country, and the construction of "smart communities" and "smart security communities", it is expected that AI security will maintain high speed and stability in the field of community buildings in the next few years. develop. At present, the penetration rate of license plate recognition gates is relatively high, but limited by the number of gates, there will undoubtedly be greater room for development of smart building intercoms and face recognition access control in the future.

4. Unmanned convenience stores

Unmanned retail stores are naturally the testing ground for various intelligent monitoring technologies. From the initial anti-theft and loss prevention, to the subsequent support of refined retail management, to the new goals of plasticization, intelligence and collaboration of retail infrastructure, the Internet of Things technology, image intelligent analysis technology, and biometric identification technology are all used in the original anti-theft technology. New applications and new extensions based on loss prevention.

Cameras provide a more accurate insight into consumer needs: In the rapidly developing field of computer vision, the surveillance market embraces artificial intelligence, and camera intelligence is the general trend. Video surveillance has been successfully used for attendance, passenger flow statistics, face recognition, transaction statistics, etc. Chain store companies have gradually begun to use information technology to manage store operations. Cameras will help traditional retail companies gain a more accurate insight into consumer needs, provide reference for operations and management, and move towards new retail.

Smart big data to improve customer statistical analysis: Through security big data analysis, we can provide a hot spot statistical system for stores to collect and analyze customer behavior data for personal care product display and shelf layout, such as when customers purchase different products. What is the previous residence time, etc., and then serve as a reference for the final adjustment decision. This innovates the application of video surveillance systems to remotely manage retail stores, and provides useful inspiration for the chain retail industry on how to use video surveillance systems to carry out big data applications such as consumption data comparison and analysis.

5. Factory Park

Industrial robots have been around for a long time, but most of them are operating robots fixed on production lines. Mobile line inspection robots will have broad application prospects in fully enclosed unmanned factories. In factory campuses, security cameras are mainly deployed at entrances, exits and perimeters, and cannot cover the interior corners, which are precisely the blind spots of safety hazards. Mobile line patrol robots are used to patrol regularly and read meters. Numerical values, analyze potential risks, ensure the reliable operation of fully enclosed unmanned factories, and truly promote the development of "Industry 4.0".

As the first field where AI has been widely used, the security industry has entered a stable maturity period after rapid development in the past few years. It can be seen that AI products have become the basic configuration in many security projects, and video surveillance systems without AI have been basically eliminated. On the other hand, the technical challenges and difficulties faced by AI security are also very serious, requiring all upstream and downstream industry personnel. Work together to successfully complete the third security technology change after high-definition and networking.

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