Electronic enthusiasts eight o'clock: With the rapid development of safe city construction, the coverage of video surveillance points has also increased, and the application of business has become more complicated. It has been unable to fully utilize the resources constructed by relying on limited manpower. It is a general trend for artificial intelligence to be competent for complex tasks that usually require human intelligence to complete, and to assist labor to complete business operations more efficiently and accurately.
In recent years, the emergence of deep learning has greatly promoted the practical application of computer intelligence, especially in the video intelligence analysis, LFW (uncontrolled network image database) international face recognition competition, the machine for the first time beyond human eye recognition Accuracy rate reached 99.55% in 2015, and the accuracy rate continued to improve, which made deep learning more possibilities for the application of video intelligence analysis in safe cities.
For the front-end, it is a mainstream trend to see clearly, to see far, to be smarter and to adapt to various environments. For the back-end platform, with the explosive growth of data volume and data types, how to quickly collide and extract valuable clues in massive view data has become a major issue. With the development of artificial intelligence technology, the video content analysis and recognition technology is the core, through the structured description of unstructured data, extracting the enrichment and summary information, realizing fast retrieval and searching, and by thinking like human brain This makes it possible to perform big data analysis and information collision.
Artificial intelligence applications in the security field
Through big data technology, different types of data such as video, pictures, WIFI signals, and electronic license plates can be analyzed, collided, and potential contacts are discovered, valuable information is extracted, and visualized results are presented. Below are some of the security fields. Talk about artificial intelligence big data applications.
The personnel analysis application relies on the results of the human characteristic recognition service output of the artificial intelligence system to perform data analysis, and realizes functions such as identification of personnel identity, personnel arming, and face trajectory.
The vehicle analysis application can meet the full map operation and realize the visualization application, including: trajectory analysis, follow-up analysis, collision analysis, frequency analysis, deck analysis, hidden vehicle mining and other functions.
The multi-resource spatio-temporal application can realize the integrated management of various video resources through the geographic information system based on the command and dispatch of the GIS map, and realize the visual visualization application of the monitoring image. Realize quick access to monitoring points or monitoring area images that need attention, and achieve target online tracking. Through video layer overlay, video resource search and video positioning, the road conditions, resource distribution, personnel distribution, geographic coordinate information, and police deployment are displayed in a graphical form, and the global information is displayed in a comprehensive and multi-dimensional manner. To make command and dispatch more intuitive and efficient.
The view content warning and automatic alarm linkage application automatically warn the content of the video. When the pre-set plan is triggered, 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, fireworks detection, etc.
Video real-time annotation application can real-time structuring with real-time video, including feature extraction of people, vehicles and moving targets. Real-time video annotation transforms video data into intelligence used by public security combat to realize the conversion of video data to information and intelligence.
Portrait quick comparison search application can compare suspects, quickly confirm target identity, provide intelligent, accurate and fast face comparison and perfect video image big data analysis and mining application. Comprehensively solve the problem of personnel management monitoring such as real-time tracking and monitoring of portraits, quick identification of personnel identification, and tracking of people's historical trajectories, such as checking people, finding people, warning, and tracking.
The video image intelligent research and application application can adopt image processing algorithms suitable for various scenes and various situations for multiple formats of video and pictures, and realize clear processing of blurred images. It also provides video intelligent annotation service and retrieval service, which realizes the structured description of the intelligence (the system automatically extracts description information) of the suspected target in the video and picture, reduces the workload of the structured description information manually marked, and satisfies multiple retrievals. Ways to improve the speed and efficiency of video viewing, to achieve the purpose of quickly find and locate suspect targets, and reduce the possibility of missing suspect information in the video of the incident.
Vehicle data collision mining application, can identify the vehicle data of the bayonet image, including license plate number, vehicle brand, vehicle sub-brand, vehicle year, vehicle color, license plate color, vehicle type, license plate type, annual inspection mark, sun visor Vehicle detail information such as seat belts, data collision comparison of vehicle trajectory and activity law, so as to mine hidden case events and realize visual application, including: trajectory analysis, following analysis, collision analysis, frequency analysis , deck analysis, hidden vehicle mining, etc.
Real-time vehicle control application, which can be used for stolen vehicles, illegal vehicles, vehicles involved, high-risk vehicles, key vehicles, etc., characteristic attributes of specific moving target objects (such as license plate number, vehicle type, color, space area, etc.) and combinations thereof. Perform online instant control.
Conclusion
With the continuous enrichment of collection methods, the continuous growth of data content, and the continuous maturity of technology, intelligent assisted manual work has become an inevitable trend. The big data technology mentioned here is only one aspect of artificial intelligence. It is believed that with the development of technology, more and more intelligent applications will land 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 areas, from safe cities to truly smart cities.
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