Title :
Research and Develop on PCB Defect Intelligent Visual Inspection Robot
Author :
Ma Can ; Mao JianXu ; Mao JianPing
Author_Institution :
Dept. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
In order to realize the fast detection of the printed circuit board´s quality, a set of PCB defect intelligent automatic detection device based on machine vision is analysed and designed. The paper introduced the robot system construction, machine system, electronic control system, the design and realization of vision imaging system, software used a fast iterative algorithm for image segmentation based on 2D maximum between-cluster variance, using the template matching method for PCB image of the automatic detection and recognition defects. Experiment results on model machine show that the design of the intelligent visual inspection robot can detect PCB defect exactly and effectively, it also can be used in the actual PCB online detection.
Keywords :
electronic engineering computing; image segmentation; industrial robots; inspection; iterative methods; printed circuit manufacture; printed circuit testing; quality management; robot vision; 2D maximum between-cluster variance; PCB defect intelligent automatic detection device; PCB image; PCB online detection; electronic control system; image segmentation; intelligent visual inspection robot; iterative algorithm; machine system; machine vision; printed circuit board quality; recognition defect; robot system construction; template matching method; vision imaging system; Control systems; Imaging; Inspection; Machine vision; Production; Robots; Visualization;
Conference_Titel :
Photonics and Optoelectronics (SOPO), 2012 Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0909-8
DOI :
10.1109/SOPO.2012.6271078
