Image processing method, device and system and storage medium

Abstract

The embodiment of the invention provides an image processing method, device and system and a storage medium. The method comprises the steps of obtaining an image sequence in real time; carrying out face detection on each image in the image sequence in real time, obtaining a face image corresponding to each face under the condition that the face is detected, and analyzing the face quality of each face image; sending the earliest face image of which the face quality reaches a preset requirement earliest in the face images belonging to the same target object to a face recognition module for face recognition; caching an optimal face image with the best face quality and the face quality exceeding the earliest face image in the face image belonging to the target object in the optimal frame queue; and at a predetermined moment, checking the image caching condition of the optimal frame queue, and if the optimal face image belonging to the specific object is cached in the optimal frame queue and the face of the specific object is not recognized, sending the optimal face image belonging to the specific object to a face recognition module for face recognition. And useless calculation can be effectively reduced.

Description

technical field [0001] The present invention relates to the field of face recognition, and more particularly relates to an image processing method, device, system and storage medium. Background technique [0002] In the field of face recognition, an image acquisition device (such as a camera) can be used to collect a person's face image, and then the collected face image can be used for face recognition. In the process of a person appearing in the camera screen and leaving the camera screen, the camera can collect many face images of this person. If each face image is sent to the face recognition module for face recognition, it will be The recognition system brings a huge computing load, which is likely to cause problems such as overheating, reduced computing power, high power consumption, and short battery life. The most important thing is that it will increase useless computing, because once a person is successfully recognized, there is no need repeated recognition. Con...

AI Technical Summary

Problems solved by technology

In the process of a person appearing in the camera screen and leaving the camera screen, the camera can collect many face images of this person. If each face image is sent to the face recognition module for face recognition, it will be The recognition system brings a huge computing load, which is likely to cause problems such as overheating, reduced computing power, high power consumption, and short battery life. The most important thing is that it will increase useless computing, because once a person is successfully recognized, there is no need repeat recognition

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