Camera acquisition digital image equipment and filtering method

Abstract

The invention provides camera acquisition digital image equipment and a filtering method. The camera acquisition digital image equipment comprises an infrared light illumination module, a visible light filtering lens and a video acquisition module, wherein the video acquisition module comprises a camera core and a camera shell, and the camera core comprises a lens. According to the camera acquisition digital image equipment and the filtering method, direct interference of a mining head lamp and a car lamp on video images can be directly restrained from the source, and blinding caused by lamplight of the camera is avoided; besides, shadow interference or jump generated when the visible light irradiates the object can be filtered, the algorithm difficulty of intelligent image recognition isreduced, the accuracy of the algorithm is improved, and the camera acquisition digital image equipment provided by the invention is suitable for a transformation scheme of an original universal camera, and is low in transformation cost and simple in construction step.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a digital image device collected by a camera and a filtering method. Background technique [0002] With the popularization of underground video surveillance, the application of intelligent image recognition in coal mines is becoming more and more extensive. The intelligent image recognition technology uses the digital images collected by the mine camera, and performs calculation and analysis through the intelligent algorithm embedded in the camera or the back-end server algorithm to realize the perception of the video content, and then judge and identify the corresponding target or not according to the set rules. Make corresponding alarms. Due to the advantages of non-contact detection, wide detection range and low detection cost, intelligent video recognition can better solve the detection requirements of a series of dangerous places such as personnel violations and personnel cr...

AI Technical Summary

Problems solved by technology

[0003] However, the application of intelligent image recognition in coal mines is not very ideal, the main reason is the interference of underground car lights and miner's lamps on video images

Because the underground environment is dark and dark, miners must carry miner's lamps for lighting, and underground locomotives must also be equipped with lighting lights, which will cause fatal problems for underground video image recognition: 1. The light directly irradiated or indirectly reflected by lighting equipment will affect the camera. The pixel change of the image collected by the camera can cause halo or blindness of the camera in severe cases, resulting in a decrease in image recognition rate or failure of image recognition

2. The irradiation of mobile lighting equipment on other objects will cause the movement or jump of the shadow of the object, which will affect the judgment of intelligent image recognition and greatly reduce the accuracy of image recognition

3. In the existing intelligent image recognition, digital image filtering algorithms are usually used to suppress the above light source interference, such as image algorithms such as bright spot suppression algorithm and local dynamic contrast adjustment. There are many software and hardware computing resources, and the filtering effect of image pollution caused by the above light sources is poor, which may easily lead to false positives or missed detections of intelligent video

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