Method for realizing automatic people searching and tracking by combining community lighting network and cloud platform community population information base

Abstract

The invention discloses a method for realizing automatic people searching and tracking through combination of a community lighting network and a cloud platform community population information base which belongs to the field of urban safety. The method specifically comprises the following steps: establishing a community camera network by using a community camera, a cloud community tracking people-searching system information base, an intelligent people-searching route plan, an intelligent lighting module, a single-chip microcomputer and a wireless transmission module in combination with community street lamp lighting arrangement; receiving and storing video information shot by the camera by using the cloud platform; performing recognition processing on the image information by using a convolutional neural network; using the single-chip microcomputer for controlling the intelligent street lamp and the camera to act; using a wireless transmission module for data interaction; and observing and tracking the target action route by using the virtual community map terminal. The method can achieve the quick and intelligent search of the target track in the historical video when a missing case happens, visually displays the action route, speculates the destination more accurately, reduces the search range, and shortens the search time.

Description

technical field

[0001] The invention belongs to the technical field of urban security, and in particular relates to a method for realizing automatic person tracing by combining a community lighting network and a cloud platform community population information database. Background technique

[0002] For missing cases, search time and efficiency are the key to rescue. With the advancement and development of science and technology, the public security of the community is constantly improving, and the public security methods are developing systematically towards intelligent development. However, missing persons cases continue to occur in various regions, with minors being the most prominent. At the same time, after the case occurs, there are also problems such as untimely handling, excessive search range and blindness, difficulty in obtaining camera information, and information that needs to be checked. Problems such as excessive volume lead to missing the best time to find or ...

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