As a widely used mechanical part, the accuracy of gears has an important influence on the performance of mechanical products. Improve the gear detection technology is a necessary condition to improve the quality of gear products, due to the characteristics of the shape of the gear, which prompted a large number of test items, the measurement process is complex, and the measurement equipment is expensive. Therefore, in the actual production, it is urgent to quickly measure and analyze the gear.
Machine vision inspection is a non-contact non-destructive testing method. It is a brand-new detection method. Compared with traditional detection methods, it has irreplaceable advantages. The machine vision system is also more reliable in high-speed, subtle and repetitive manufacturing processes. The use of machine vision in manufacturing systems is the direction and needs of industrial development, and it is also an effective way to increase production efficiency. Today, China Machine Vision Mall () Xiaobian will introduce you to the use of machine vision technology for rapid detection of gear defects.
The machine vision inspection system is mainly composed of industrial cameras, image acquisition cards, and computer image processing systems. First, a size CCD camera connected to a computer is used to take an image, and the captured object is converted into an image signal. Then, according to the pixel distribution, brightness, color and other information, the image signal is converted into a digital signal through an image capture card and transmitted to a dedicated image processing system. The image processing system performs various operations on these signals to extract the characteristics of the target, such as area, length, number, position, and the like. Finally, the results are output according to preset tolerances and other conditions, such as size, angle, offset, number, pass/fail, and/without defects.
Image processing and detection process First, the CCD camera captures the image. During the imaging process, attention is paid to adjusting the verified light source and camera position, minimizing image distortion and noise, ensuring the authenticity of the image, and converting the captured target into an image signal. Image processing system. Under normal circumstances, the original image acquired by the image capturing system is often not used directly in the visual system due to various conditions and random signal interference. The original image must be corrected for grayscale, denoised, and binary in the early stage of vision. Morphological and other image processing. The binarized image contains two gray values. The binocular vision system is very effective when the outline of the object is sufficient to identify the object and the surrounding environment can be properly controlled. For the pre-processed image after further processing, the required feature information is extracted and analyzed. Finally, based on the calculation results, determine whether the gear is qualified.