| As a key auto engine component, piston's assembly quality affects power consumption, stability and life of auto engine directly. Therefore piston's assembly quality must be ensured before it is installed into engine. But it is hard for mechanism to ensure it, because there are many items to check and disqualification item only difference in color compared with qualified item. Therefore, usually manual inspection method is used to ensure piston assembly quality at present. This kind of method leads to unstable accuracy rate and inefficiency. Therefore it is of great value for improving stability and efficiency of piston assembly quality to do research on automatic detection system based on machine vision.Author design a checking system based on machine vision according to piston character after study detection method at home and abroad at present. This system includes side pushing mechanism, jacking servo motor, rotating servo motor, photoelectric sensor and so on. The system can improve detection efficiency and it can ensure precision. Rationality of lighting and image acquisition device affect acquired image quality directly. This essay introduce how to design and choose lighting, lens, camera, image acquire device and image process software.System acquires piston top image and piston side image firstly. Then system processes the images, such as thresholding, feature extraction and template matching, to realize detection. At last author selects LabVIEW as software development platform. IMAQ Vision development kit is used to realize image process algorithm and human machine interface. The vision detection system can improve quality stability and efficiency of piston checking. The system can also avoid some shortcoming cause by manual inspection, such as bad quality stability, on line measurement unrealizable. |
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