Video face detection method, video face detection unit and system

Abstract

The invention provides a face detection method, a detection unit and a detection system in a wide geographic range. The face detection method comprises the following steps: dividing a plurality of subareas in a wide area range; deploying a plurality of terminals and a relay node in each subarea; wherein each terminal is responsible for shooting a video and carrying out face detection pre-recognition on the video; each terminal summarizing the pre-recognized face data to the relay nodes in the same sub-region; the relay nodes in different sub-regions gathering the face data to the aggregation node; the aggregation node uploading the face data to a cloud server; and the cloud server carrying out face depth identification and analysis. According to the method and the system provided by the invention, the bandwidth of data transmission and the use amount of electric energy can be reduced, and particularly for an outdoor wide area range, the method and the system provided by the invention can accurately obtain passenger flow data and information of other passenger flows.

Description

technical field [0001] The present invention generally relates to the field of video processing technology and wireless communication, in particular to a video real-time face detection method and a wireless picture transmission strategy. Background technique [0002] With the advent of the data era dominated by big data, cloud computing, and artificial intelligence technology, face detection technology has important application value in security monitoring, witness comparison, human-computer interaction, social networking and other fields. Face detection technology has been widely used in the field of passenger flow statistics. By finding the position and size of the face in the image or video stream, the behavior and state of the person can be accurately obtained, which is convenient for data mining and analysis, and provides important information for the decision-making of managers. in accordance with. [0003] At present, passenger flow statistics based on face detection...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that the outdoor wide-area environment does not have the characteristics of high-bandwidth, low-latency network and perfect power supply, users cannot obtain video stream or picture data, and thus cannot obtain accurate passenger flow data. The present invention provides a The method for the video face detection of wide-area scope, comprises the steps:

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