Smart mobile law enforcement system and method
A mobile law enforcement and intelligent technology, applied in the field of law enforcement, can solve the problems of cumbersome operation, low effectiveness, time-consuming and labor-intensive mobile law enforcement, etc.
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Embodiment 1
[0051] This embodiment provides an intelligent mobile law enforcement system, the structural diagram of which is as follows figure 1 shown. The system mainly includes a front-end acquisition unit 10 and an analysis management unit 20 .
[0052]The front-end collection unit 10 mainly refers to the equipment responsible for collecting video and other data, and is used to collect law enforcement data, and the law enforcement data includes videos taken of law enforcement objects. For example, at least one of a body camera recorder with camera and communication functions, a mobile police terminal and a vehicle-mounted camera. Among them, the mobile police terminal may include police communication, individual soldier evidence collection terminal, and the like. Law enforcement objects can be vehicles or personnel.
[0053] In the mobile law enforcement process of the police, in order to ensure the security of law enforcement data, the public security system generally deploys the a...
Embodiment 2
[0065] This embodiment provides an intelligent mobile law enforcement method, the flow chart of the method is as follows figure 2 shown. Including the following steps:
[0066] S1: Determine target information according to law enforcement data, where the law enforcement data includes videos taken of law enforcement objects. Due to the diversity of law enforcement data acquisition scenarios, the captured video is also different from the video of ordinary surveillance scenes, such as: the camera and the background are in motion, severe motion blur, underexposure, etc. In addition, the purpose of this method is to capture the face photos of the suspect and the person being interrogated to accurately query personnel information. Therefore, it is necessary to exclude some side faces and blurred faces, and not cause too much re-reporting . The target information may include a face image and face attribute information, and the face attribute information may include confidence, po...
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