Intelligent face overexposure prevention camera module

Abstract

The invention is applicable to the field of computers, and provides an intelligent anti-face overexposure camera module, which comprises a capturing module, an image processing module and an image processing module, and is characterized in that the capturing module is used for capturing contour images of continuous figure motion in video images; the detection module is used for performing periodic motion detection based on the contour image of the continuous human body motion; the judgment module is used for judging whether the figure presenting the periodic motion enters a specified area or not when the figure in the contour image is detected to present the periodic motion state; the selective exposure module is used for selecting to perform exposure configuration on the outline image where the figure is located when it is judged that the figure in the periodic motion state enters the designated area, and the method has the beneficial effects that it is guaranteed that better image quality can be achieved under the condition of weak light, and the face of the picture can be effectively seen clearly without overexposure.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to an intelligent anti-face overexposure camera module. Background technique [0002] At present, the main security products on the market use camera image exposure and auxiliary lighting in low-light scenes, which will cause more or less problems in the security field. Unclear and other problems, so that it takes more manpower and material resources to reprocess when calling video images later. [0003] The shortcomings and problems of the existing solutions: it cannot effectively ensure that the video surveillance images can see the face clearly, and after the video recording is retrieved, it cannot play a decisive role in the actual work. To solve this problem, the existing method is to reduce the exposure of the camera image or the brightness of the auxiliary light, such as reducing the exposure of the camera image or reducing the brightness of the auxiliary light...

AI Technical Summary

Problems solved by technology

[0002] At present, the main security products on the market use camera image exposure and auxiliary lighting in low-light scenes, which will cause more or less problems in the security field. Unclear and other problems, so that it will take more manpower and material resources to reprocess when calling the video image later

[0003] The shortcomings and problems of the existing solutions: it cannot effectively ensure that the video surveillance image can see the face clearly, and after re-retrieving the video recording, it cannot play a decisive role in the actual work.

To solve this problem, the existing method is to reduce the exposure of the camera image or the brightness of the auxiliary light, such as reducing the exposure of the camera image or reducing the brightness of the auxiliary light, the overall brightness of the image will also be greatly reduced, although the face can be seen clearly, However, when no one is around, the surrounding environment cannot be effectively monitored.

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