Camera and light supplementing method

Abstract

The embodiment of the invention provides a camera and a light supplementing method. The method is used for efficiently illuminating an effective area and avoiding illumination glare and energy loss in a non-effective monitoring area. The camera comprises an imaging module, a first lighting module and a main control chip, wherein the first lighting module comprises M lighting sub-modules; the imaging module is used for acquiring an image in a vision field range of the camera; the first illumination module is used for supplementing light to a shooting area of the imaging module when the ambient brightness is lower than a first preset threshold value; the main control chip is used for dividing the imaging module into N imaging sub-modules according to the pixel distribution of the image and establishing a mapping relation between the N imaging sub-modules and the M lighting sub-modules; and brightness information of the shooting area of each imaging sub-module is determined, and each illumination sub-module is respectively controlled to carry out light supplement on the shooting area of the corresponding imaging sub-module according to the brightness information of the shooting area of each imaging sub-module and the mapping relation.

Description

technical field [0001] The invention relates to the technical field of video monitoring and machine vision, in particular to a video camera and a method for supplementing light. Background technique [0002] When the camera is at night or in a dark environment, due to the weak light in the environment, the image sensor receives less light signals, which will cause the image of the shooting scene to be blurred, and the effect of restoring the scene cannot be achieved. Therefore, an auxiliary light source is needed to provide a uniform light source environment for the camera to ensure that the shooting content is clear. [0003] At present, in the field of security video surveillance or machine vision, Gaussian energy distribution is usually used to maximize the energy distribution of multiple lights in the entire picture. In the fill light mode, intelligent image processing technology is usually used to adjust the brightness of the picture Processing, for example, when it is...

AI Technical Summary

Problems solved by technology

[0003] At present, in the field of security video surveillance or machine vision, Gaussian energy distribution is usually used to maximize the energy distribution of multiple lights in the entire picture. In the fill light mode, intelligent image processing technology is usually used to adjust the brightness of the picture Processing, for example, when it is detected that the brightness of any object in the screen exceeds a certain threshold or is lower than a certain threshold, the overall brightness of the supplementary light module is adjusted down or up, so that the brightness of the entire screen or the center of the screen The brightness is adjusted down or up as a whole, so that when effective lighting is performed on effective monitoring areas, lighting glare and energy loss occur in non-effective monitoring areas

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