CIS camera, and image processing method based on CIS camera

Abstract

The embodiment of the invention discloses a CIS camera, and an image processing method based on the CIS camera. The CIS camera comprises a CIS image collection module and a CIS control, collection andtransmission module, wherein the CIS image collection module comprises at least three image sensors, and the image sensors are arranged in triangle; the CIS image collection module is connected withthe CIS control, collection and transmission module, and the CIS image collection module collects first image data of a detected object row by row and sends the first image data to the CIS control, collection and transmission module; and the CIS control, collection and transmission module sends target image data in the first image data to a PC terminal at the same time, wherein the target image data comprise the image data corresponding to the same horizontal location of the detected objected in each row of image data collected by each image sensor arranged in the triangle. By adoption of thetechnical scheme provided by the embodiment of the invention, the detection accuracy can be effectively improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine vision, and in particular to a CIS camera and an image processing method based on the CIS camera. Background technique [0002] With the rapid development of machine vision technology, more and more manufacturers choose to use automated visual inspection equipment to replace manual inspection in the field of industrial quality inspection. Traditional machine vision solutions usually use a CCD (Charge-coupled Device, charge-coupled device) camera as a visual input module, that is, collect image data through a CCD camera. [0003] However, in the high-precision detection scenario, the image collected by the CCD camera is easily distorted, the color reproduction of the collected object is poor, and the image is greatly affected by the light source. This series of shortcomings makes the detection process difficult to achieve and the reliability of the detection results is difficu...

AI Technical Summary

Problems solved by technology

[0003] However, in the high-precision detection scenario, the image collected by the CCD camera is easily distorted, the color reproduction of the collected object is poor, and the image is greatly affected by the light source. This series of shortcomings makes the detection process difficult to achieve and the reliability of the detection results is difficult to guarantee.

Moreover, for larger detection objects, it is often necessary to use multiple sets of CCD cameras to work together, which is costly and has low accuracy.

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