Campus-oriented audio and video intelligent monitoring system

Abstract

The invention provides a campus-oriented audio and video intelligent monitoring system. According to the audio and video intelligent monitoring system, all the target vehicles are identified through avehicle identification part of a monitoring server to obtain the target vehicle identification result; a track recording part records the corresponding position information of the target vehicle at different times one by one according to the time sequence of snapshot of the target vehicle by the acquisition terminal based on the target vehicle identification result to form vehicle track information, the service side communication part sends all the recorded vehicle track information to the monitoring terminal for display; security personnel can master the vehicle driving dynamic state in realtime by checking the vehicle track, the security personnel do not need to track the vehicle manually, manpower and time are saved, the security personnel can prevent campus safety accidents in time and take corresponding remedial measures for the campus safety accidents, and losses and injuries are reduced to the minimum.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and artificial intelligence, and in particular relates to a campus-oriented audio and video intelligent monitoring system. Background technique [0002] Campus video surveillance system is an important part of campus security. Security personnel conduct real-time monitoring of personnel and vehicles on or around the campus through surveillance video. The tracking of vehicles is a key point in the video surveillance system. The security personnel track the vehicles around the campus and in the campus through the campus video surveillance system to find out whether the vehicle is driving in a non-lane area; or find out whether the vehicle is lingering around the school, preparing to commit a crime around the school or in the school; or determine whether the crime is committed Where the vehicle has stayed around the school or in the school, find the scene of the crime in time for remediati...

AI Technical Summary

Problems solved by technology

[0003] In traditional vehicle tracking, security personnel find the surveillance video containing the vehicle from all surveillance videos based on the license plate number of the vehicle, and then determine the driving route of the vehicle in chronological order for the surveillance video containing the vehicle, which requires not only a large number of security personnel Time and energy and unable to prevent campus safety accidents or make security personnel rush to the campus safety accident site to take remedial measures in time, causing serious impact and loss on students and schools

Real-time vehicle monitoring requires security personnel to keep staring at a certain vehicle in the surveillance video, which not only cannot track all vehicles, but also cannot keep up with the energy of security personnel

[0004] The traditional campus video surveillance system can only monitor the personnel and vehicles appearing on the campus, but cannot monitor the abnormal sounds such as explosions and gunshots in the campus.

Security personnel can only judge whether a campus safety accident has occurred based on the actions of people or vehicles in the surveillance video, but cannot judge whether a campus safety accident has occurred on the campus based on the sound in the campus

Images