In view of the specific application industry, the current artificial intelligence + security has revealed a relatively good application prospect in many fields such as public security, transportation, building, finance, commerce, and civil use. For example, in the field of public security, it mainly involves image detection, big data pre-judgment, and pre-warning; in the transportation field, based on the identification of traffic participants and vehicles, capturing traffic illegal vehicles, obtaining traffic information, and analyzing urban traffic conditions in real time. In order to improve the traffic efficiency of urban roads by rationally deploying resources, real-time monitoring of people, vehicles and objects can be realized by using AI technology in commercial buildings, and attribute analysis and population statistics can be realized.
Application in smart policing
As a key application area of ​​security, the public security industry is relying on the continuous development of information sensing, cloud computing, artificial intelligence and other technologies to promote public security information and intelligent police construction. Artificial intelligence plays an increasingly important role in it.
The urgent need of users in the public security industry is to find clues to suspects in massive video information. Artificial intelligence has a natural advantage in feature extraction and content understanding of video content. In the process of detecting and recognizing people, vehicles and objects, image recognition technology based on deep learning is widely used at present. In public security work, face recognition technology is used in the inspection and control, suspect identification, portrait identification and key points. Field access control and other fields have achieved good application results.
The existing security monitoring system is integrated into the face recognition algorithm based on deep learning to realize the intelligent upgrade of the system. The system platform database focuses on the warehousing of the case, and achieves the image comparison of resident population, temporary resident population, key population, and fugitive personnel in identity authentication, providing big data for household registration management, public security management, criminal investigation and other crimes. Analytical technical means.
Application in intelligent transportation
In the field of urban transportation, the simple license plate recognition technology can no longer meet the actual needs. The industry is eager to extract more and more vehicle information faster and more accurately. In addition to the license plate number, there are also the vehicle's label, body color, vehicle brand, Vehicle type, vehicle features, etc. Supports rapid retrieval based on the appearance characteristics of vehicles. These features have extensive and urgent application requirements in the fields of criminal case investigation, traffic accident handling, traffic accident escape, and automatic recording of illegal vehicles.
Big data analysis technology and deep learning-based image recognition technology have solved various dilemmas faced by urban public transportation safety management. For the capture of illegal vehicles, we no longer rely solely on license plate recognition technology. With computer vision technology, image processing and massive data analysis and deep learning training, we can rely on the body color, car lights and logos collected by the front-end equipment or other The characteristics are obtained, thereby obtaining a higher recognition rate and realizing retrieval of the target vehicle.
Application in smart communities
The community is the basic space of the city and an important place for social interaction. With the increase of population mobility, the information of people, vehicles and objects in the community overlaps, the data is massive, and the traditional management methods are difficult to obtain efficient community security control. Community management is closely related to people's livelihood services. It not only requires technical upgrades in management, but also community services under big data.
Through the integration of face recognition, vehicle analysis and video structuring algorithms in the community monitoring system, the effective video content can be extracted, which can not only detect moving targets, but also classify various target information according to personnel attributes, vehicle attributes and human attributes. In combination with the public security system, analyze the clues of criminal suspects and provide effective assistance for public security cases. In addition, in smart communities, products such as smart door access based on face recognition can also be accurately screened.
The above several industry scenes are just the epitome of artificial intelligence + security Applications. Nowadays, with the continuous breakthrough of technologies such as deep learning and big data, artificial intelligence will not only release a large number of unmet market demands, but also play an important role in the security industry market in the fields of public safety, transportation, and buildings. More and more abundant new scenarios and new demands will expand the security market space and promote the popularization and deepening of smart security. It can be foreseen that artificial intelligence drives the security industry far more than before. The integration of AI technology will further enrich the connotation and dimension of intelligent security. (Author: Liu Zhiqiang)
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