Video surveillance processing method and device for self-service equipment

Abstract

The application of the invention provides a video surveillance processing method for self-service equipment, which includes the steps as follows: detecting whether a person is in a self-service area; if someone is in the self-service area, triggering a surveillance video system of the self-service equipment to record a surveillance video, and storing the surveillance video recorded by the surveillance video system of the self-service equipment; and if no one is in the self-service area, enabling the surveillance video system of the self-service equipment to stop recording the surveillance video. Therefore, when no one is in the self-service area, the surveillance video system of the self-service equipment does not record the surveillance video, and is triggered to record the surveillance video only when there is someone in the self-service area, as a result, the recorded video data is effective as far as possible to reduce the memory space; and the workload of inquiring video record is reduced due to the reduction of invalid video data.

Description

Technical field [0001] This application relates to the technical field of self-service equipment, and in particular to a method and device for processing video monitoring of self-service equipment. Background technique [0002] At present, the self-service equipment video surveillance system generally has more than four monitoring lines for all-weather surveillance video recording. When there is no one in the service area, the self-service equipment surveillance video system is also performing surveillance video recording, and the recorded video has almost no practical value. For example, the monitoring video of the cash outlet in the self-service equipment monitoring video system is only valuable when the video is recorded when depositing and adding cash or withdrawing cash. Normal data is almost useless. If the video of the cash outlet is recorded at all times , Resulting in a very large amount of data. Because videos of low practical value are recorded, too much invalid data ...

AI Technical Summary

Problems solved by technology

Of course, if the surveillance video recorded by the self-service equipment is stored in the way of circular storage, after the storage device is full, the newly generated data will overwrite the previous data, shortening the video storage time. When querying the surveillance video required by the customer, if the required surveillance video has been covered by the newly generated video data, the required surveillance video will not be queried, which may cause losses to the customer

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