Dynamic light supplementing device and method for face recognition

Abstract

The embodiment of the invention provides a dynamic light supplementing device and method for face recognition. The method comprises the following steps: obtaining an ambient light sensation value according to a light sensor, and determining a first light supplementing brightness level according to the ambient light sensation value; acquiring human face detection information according to the cameraunder the first light supplementing brightness level, the brightness regulator is used for analyzing the human face detection information; and if the human face is not detected, waiting for a presettime, increasing the first light supplementing brightness level to obtain a second light supplementing brightness level, and obtaining brightness adjustment information according to the second light supplementing brightness level, so that the dynamic light supplementing lamp performs dynamic light supplementing according to the brightness adjustment information. The brightness adjustment information is obtained according to the ambient light sensation value and the face detection information, so that light supplement is performed according to the brightness adjustment information, and the problem that face recognition is prone to wrong recognition or low in recognition speed under the condition of poor ambient light conditions is solved.

Description

technical field [0001] The invention relates to the field of information processing technology, in particular to a dynamic supplementary light device and method for face recognition. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Face recognition uses a camera or camera to collect images or video streams containing faces, automatically detects and tracks faces in the images, and then performs face recognition on the detected faces. [0003] In modern society, face recognition solutions are more and more widely used in gates and access control. Good recognition rate and recognition speed are becoming more and more important, and face recognition is prone to misrecognition or slow recognition speed when the ambient light conditions are not good. [0004] Therefore, how to achieve more efficient and accurate face recognition has become an urgent problem in the industry. Contents of the i...

AI Technical Summary

Problems solved by technology

Good recognition rate and recognition speed are becoming more and more important, and face recognition is prone to misrecognition or slow recognition speed in the case of poor ambient light conditions

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