Mechanical part vision detection system

Abstract

The invention discloses a mechanical part vision detection system. The mechanical part vision detection system comprises a mechanical module, an image acquisition module, a control module and an imagedetection module. The mechanical module connects the image acquisition module, the control module and the image detection module together. All the functional modules are matched mutually for cooperation to maintain smooth operation of the vision detection system. The mechanical part vision detection system mechanically detects the surface defects and the processing size of a machine instead of manual detection, conducts automatic comparison, judgment and sorting, achieve the automation and intelligence effects and classifies products according to the types of the defects on the processing surfaces of mechanical parts and according to whether the processing size of the products is qualified or not through comparison. The process is completely controlled through the computer program. The mechanical part vision detection system is easy and convenient to operate. The defects existing during manual operation and in the conventional detection technology are overcome.

Description

technical field [0001] The invention relates to a visual inspection system, in particular to a visual inspection system for mechanical parts. Background technique [0002] Mechanical parts are an important part of mechanical equipment. The quality of some key mechanical parts plays a vital role in the stability of mechanical equipment operation. At present, domestic mechanical equipment manufacturers mostly use manual methods for the detection of parts. Whether the parts are qualified or not is judged by manual measurement of size or visual observation. The efficiency of this method is affected by human factors, and it is difficult to ensure uniform inspection standards. It is prone to missed inspections and false inspections. In addition, defects on the surface of metal parts Among the physical detection methods, there are several more classic methods: eddy current flaw detection, magnetic particle flaw detection, ultrasonic flaw detection; eddy current flaw detection metho...

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Problems solved by technology

[0002] Mechanical parts are an important part of mechanical equipment. The quality of some key mechanical parts plays a vital role in the stability of mechanical equipment operation. At present, domestic mechanical equipment manufacturers mostly use manual methods for the detection of parts. Whether the parts are qualified or not is judged by manual measurement of size or visual observation. The efficiency of this method is affected by human factors, and it is difficult to ensure uniform inspection standards. It is prone to missed inspections and false inspections. In addition, defects on the surface of metal parts Among the physical detection methods, there are several more classic methods: eddy current flaw detection, magnetic particle flaw detection, ultrasonic flaw detection; eddy current flaw detection method is a widely used metal surface detection method, but with the increase of the complexity of the detection target shape , the moving operation during the detection process will become more difficult. Using the eddy current flaw detection method to detect metal surface defects requires a large amount of power to excite the coil, which will cause waste of energy and increase product costs; the principle of the magnetic particle flaw detection method is the same as The eddy current flaw detection method is similar. It requires manual observation of the distribution of magnetic powder. Compared with direct manual observation with the naked eye, it only enhances the contrast of defects and makes them easier to observe. After the parts are detected, they must be demagnetized. Cleaning off the magnetic particles on the surface requires an additional station to complete the post-processing work. Considering the degree of automation, the magnetic particle flaw detection method requires manual operation, which cannot meet the requirements of an automated production line; considering the environment, the sewage generated by cleaning parts is harmful to The environment will cause great harm; ultrasonic flaw detection method, when using ultrasonic flaw detection method to detect bearing defects, the wavelength of the beam should be controlled so that the wavelength is smaller than the minimum size of the defect. At present, ultrasonic flaw detection method is used to detect parts in China, mostly for large-sized parts , for small-sized parts, the current technology is not perfect enough, and there is a problem that the secondary bottom wave is higher than the primary bottom wave

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