| With the concept of "Made in China 2025",the concept of intelligent manufacturing will become the mainstream of the future automobile industry manufacturing.Machine vision can not only enhance the autonomy and flexibility of industrial robots,but also to make automation line transformation and upgrading more intelligent.Automotive windshield positioning and bracket bonding as an important part of the vehicle manufacturing,the installation accuracy and quality of the car is to determine the safety of one of the important performance indicators.At present,the domestic enterprises on the car windshield positioning and stent adhesion testing mainly using artificial or mechanical methods,the existence of a long processing time,low efficiency and bonding accuracy,high labor costs,manufacturing and processing personnel labor intensity and easy fatigue defects,seriously affect the efficiency of production enterprises,the urgent need to develop based on the machine vision of the car windshield positioning and stent adhesion intelligent detection system.Firstly,This paper introduces the background and significance of the research work,and expounds the present situation,characteristics and application fields of machine vision technology both at home and abroad.Then,according to the requirements of the visual inspection system of the automobile manufacturer,the overall design scheme of the vehicle windshield positioning and the bracket visual inspection system is put forward.The design and implementation of the electrical control system,the robot control system and the visual inspection system are introduced in detail.Then,aiming at the requirement of visual positioning glue coating for automobile windshield,the adaptive localization algorithm of windshield based on adaptive threshold segmentation and improved Hough transform is studied and realized.The local adaptive segmentation algorithm is used to segment the image data,The Hough transform is used to extract the characteristic information of trapezoidal and circular features.Experiments show that the adaptive threshold segmentation algorithm and the improved Hough transform method can effectively and accurately extract the characteristic information of the windshield,and the positioning accuracy is less than 0.2mm of the manufacturer’s requirement.Then,the design of the comfort of the windshield bracket is designed.In the design process,the pixel accumulation algorithm is used to determine the position of the bracket detection area coordinate system and the detection area.Then,the Blob analysis tool is used to determine the area and the length and width of the insured rectangle.Finally,the accuracy of the bonding of the stent is verified by the gradient value and the modified Hough transform,and the geometric detection algorithm is used to verify the accuracy of the bonding.The experimental results show that the system is better than the manual detection of the false detection rate and the missed detection rate of the primer and the coating.In the processing time,the manual detection is 4.6 times the intelligent system;manual detection accuracy of only 77.5%,much lower than the intelligent system 95.5%.Finally,the visual inspection system software is developed,the process of visual inspection software and the design and realization of each software sub-function module are described in detail.This paper introduces the call of sub-module library and the way of software communication,and realizes the on-line detection of car windshield visual positioning glue and stent bonding quality.The visual inspection software can be used effectively in the industrial field,to achieve high-speed,high-precision production needs. |
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