Automated sealant spraying technology has been widely used in the automotive coating manufacturing industry,while the traditional automotive adhesive quality monitoring method relies on manual inspection,which is inefficient and easily affected by human subjective factors.With the improvement of intelligence,automation and digitalization in the automobile manufacturing industry,the development of efficient and accurate gluing quality monitoring system has become an urgent problem for the industry.The AI intelligent quality inspection system came into being,which realizes the automatic detection of the quality of body gluing through image acquisition,image processing,AI judgment logic and deep learning technologies,and effectively improves the efficiency and accuracy of quality inspection after spraying.The AI intelligent quality inspection system described in this article has been successfully applied to the vehicle coating production line,which can realize the automatic detection of gluing quality in key parts such as wheel hub position,battery pack periphery,tail light position,etc.,to ensure a stable detection rate and a very low false detection rate.The application of this technology not only improves the automation level of the production line,reduces the manual inspection load,can effectively reduce the quality problems and quality failure costs caused by abnormal robot gluing,and promotes the field of automotive sealant gluing from manufacturing automation to quality inspection digitalization.In the future,with the iterative development of new technologies such as intelligence,electrification,and automation,as well as new quality productivity,the application demand for AI intelligent quality inspection systems will increase significantly.
维普
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