Defects Detection of Printed Circuit Board Based on the Machine Vision Method

Abstract

The processing of target image using image processing technology, can realize the non-contact online detecting circuit board, thus greatly improve the detection efficiency, reducing the defective rate. This paper provides the detection system based on the methods of pre-processing the standard circuit board image and the circuit board image to be detected, two value segmentation, morphological image processing, image registration and poor shadow detection processing, among them ,image registration is the key. In order to improve the processing speed to achieve real-time processing, image registration using rapid processing algorithm. Analysis of the experimental results, the method can detect the defects on the circuit board to be detected accurately, and can achieve the automatic real-time detection purposes.

Real-time 3D work-piece tracking with monocular camera based on static and dynamic model libraries

“…Vision system is widely used in industrial applications such as defects detection (Koch et al, 2015), board manufacturing (Wang et al, 2014), object picking (Richardson et al, 2013) and automatic assembly (Liu et al, 2014;Tang et al, 2014;Schmitt and Cai, 2014;Ahmad et al, 2011). With the development of the three-dimensional (3D) assembly, it is required to improve the intelligence of the automation of assembly as well as the efficiency and flexibility in assembly process.…”