In the field of security video surveillance, represented by vehicles and personnel identification, it has been rapidly popularized and applied in the security monitoring market, and intelligentization has become the highlight of many front-end equipment and projects. Then, in the case of extremely strong market demand, what practical business needs can artificial intelligence solve in the surveillance market?
In the field of security video surveillance, represented by vehicles and personnel identification, it has been rapidly popularized and applied in the security monitoring market, and intelligentization has become the highlight of many front-end equipment and projects. Then, in the case of extremely strong market demand, what practical business needs can artificial intelligence solve in the surveillance market?
Background analysis of artificial intelligence
Video surveillance plays an extremely important role in the prevention of natural disasters, the prevention and control of production accidents, the prevention of public security incidents and the prevention and control of public health events. However, with the implementation of the policy, the coverage of video surveillance points has gradually increased, and the application of services has become more complicated. It has been unable to efficiently utilize the established video surveillance resources by relying on traditional manual methods.
At the same time, the geometric growth of video image data drives the advent of the era of security big data, data has become a valuable resource, the emergence of deep learning has greatly promoted the practical application of artificial intelligence, especially in the aspect of video intelligence analysis. In the LFW (Uncontrolled Network Picture Database) international face recognition competition, the accuracy of machine recognition surpassed the accuracy of human eye recognition for the first time, reaching 99.55% in 2015, and the accuracy rate continues to increase, which makes deep learning The application of video intelligence analysis in the field of video surveillance offers more possibilities.
What problems can artificial intelligence applications solve?
First of all, artificial intelligence technology can acquire structural information of people, vehicles and objects, and make quick retrieval and query operations.
Secondly, it can assist the manual to find out the details that are easy to ignore in the picture, such as the retention of personnel, the loss of items, and the invasion of the area.
Finally, artificial intelligence can analyze, collide, discover potential connections, extract valuable information, and form visual results. The following is an example of some typical artificial intelligence applications.
1) With the development of transportation, the mobility of some criminals has been greatly enhanced. For example, after the criminals commit crimes in Area A, they may quickly flee to B. In the case of such rapid and frequent movement of personnel, the difficulty of arresting criminals will suddenly increase for criminal investigators. Then the artificial intelligence approach provides a good way to dynamically compare the people appearing in the cameras deployed in various corners of the city, relying on the artificial intelligence system, and using the results of the dynamic personnel identification service output. Data analysis, in order to achieve the identification of the identity of the offender, personnel deployment, trajectory analysis and other functions, improve the criminal investigation staff on the rate of crime detection.
At the same time, artificial intelligence application with face recognition as the core can also compare suspects, quickly confirm target identity, provide intelligent, accurate and fast face matching and perfect video image mining application, and comprehensively solve portrait real-time tracking. Monitoring and early warning, personnel identification, quick comparison and retrieval, personnel history tracking, and other personnel management monitoring applications such as checking people, finding people, warning, and tracking.
2) With the popularity of vehicles, a large number of unsafe driving behaviors have led to the occurrence of traffic accidents that have increased year by year, resulting in a large number of personnel and property losses. How to reduce the occurrence of unsafe driving behavior is a problem facing traffic managers. Therefore, for traffic managers, one is to provide institutional construction in terms of policies and regulations; on the other hand, technical means are needed to discover and reduce the occurrence of unsafe driving behavior. The artificial intelligence system can effectively analyze the intelligence of the driver's speeding, driving the mobile phone, and not wearing the seat belt through the machine analysis, so that the traffic management personnel need to manually correct the illegal behavior at the intersection to turn into the manual. Intelligent analysis of the way to discover and deal with these unsafe driving behaviors, in order to achieve education and punishment purposes. In order to improve the traffic management level and reduce the incidence of accidents, reduce the loss of personnel and property.
At the same time, the artificial intelligence application with vehicle analysis as the core can also identify the vehicle data of the bayonet image twice, including the license plate number, vehicle brand, vehicle sub-brand, vehicle year, vehicle color, license plate color, vehicle type, license plate type. , the annual inspection standard, sun visor, seat belt and other vehicle details information, the vehicle's running track, activity rules, etc. data collision comparison, thereby mining hidden cases / event clues to achieve visualization applications, functions include: trajectory analysis, follow-up Analysis, collision analysis, frequency analysis, deck analysis, hidden vehicle mining, etc.
3) For some major security activities, it is often necessary to station a large number of police forces. For the public security command center, it will cause a situation of tight personnel. Therefore, it can be relied on technical means to achieve the purpose of reducing security personnel. The artificial intelligence method can provide applications with active prevention and control as the core, view content warning and automatic alarm linkage application, and can automatically alert the content of the video. After triggering the pre-set plan, the linked camera will simultaneously open the monitoring image to form a monitoring blockade of the case and a real-time alarm. The intelligent control analysis functions include: regional intrusion, squall line detection, illegal parking, squat detection, fight detection, item legacy, item loss, illegal trailing, crowd gathering, traffic statistics, license plate feature recognition and pyrotechnic detection.
Conclusion
In the field of video surveillance, with the continuous enrichment of collection methods, the continuous growth of data content, and the continuous maturity of artificial technology, artificial intelligence assisted manual work has become an inevitable trend. I believe that with the development of technology, there will be more and more The intelligent application has landed in more fields, making artificial intelligence not only play an important role in the security field, but also use artificial intelligence to play a role in more fields, from rising to a truly smart city.
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