Method, device and system for confirming alarm identity of video surveillance system

Abstract

The invention discloses a method, device and system for confirming the alarm identity of a video monitoring system. The method includes: detecting the front-end alarm, and notifying the mobile phone signal listening unit to collect the mobile phone signal in the corresponding monitoring area; analyzing the mobile phone signal , and send an alarm confirmation message to the parsed mobile phone number; select whether to eliminate the front-end alarm according to the obtained alarm confirmation feedback message. The alarm identity confirmation method of the video monitoring system provided by the present invention can be implemented conveniently in the video monitoring system and has high reliability, and the relevant preset conditions involved can be flexibly set, thereby improving the accuracy of the alarming of the video monitoring system.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method, device and system for confirming an alarm identity of a video surveillance system. Background technique [0002] A very important application of the video surveillance system is used for camera front-end alarms. Such alarms usually include motion detection alarms, access control alarms, etc., and the method for disabling the alarm after the camera front-end of the current video surveillance system generates an alarm is: The administrator needs to manually determine the alarm information in the system and clear the alarm, or automatically clear the corresponding alarm when the alarm duration reaches a certain threshold. [0003] However, the current front-end alarm generation method set at the front end of the camera is prone to false alarms. For example, when the motion detection alarm method is applied, the video surveillance system will perform alarm processing...

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Problems solved by technology

[0003] However, the current front-end alarm generation method set at the front end of the camera is prone to false alarms. For example, when the motion detection alarm method is applied, the video surveillance system will perform alarm processing as long as it detects that someone is moving in the monitoring area through the front end of the camera. The moving person may be someone inside the monitoring unit. After such an alarm occurs, the maintenance personnel of the video surveillance system usually need to manually confirm the alarm in the system in real time and clear the alarm. Operation, the generated alarm information will only be automatically cleared by the system after waiting for a period of time (for example, 5 minutes or other pre-configured time period), and the alarm information will be converted into historical alarm information for storage

[0004] Moreover, when the maintenance personnel of the video surveillance system query the historical alarm information in the system, they can only inquire about the alarm generated by a certain camera and the time information when the alarm was generated. Accurate statistics and sorting out of the alarm situation

At the same time, in the existing video surveillance system, the identification method of the alarm source in the monitoring area mainly adopts methods such as face recognition, but the face recognition method is affected by the quality of the monitoring picture (for example: the monitoring picture caused by dark weather or poor light, etc.) Quality decline), the influence of factors such as alarm source camouflage, the effect of face recognition is often greatly reduced, so that the existing video surveillance system often has false alarms or no alarms.

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