AOI Planning Method Based on Genetic Algorithm
Xiaohui Jia, Tao Wang, Yang Li, Jinyue Liu, Yunlong Zhang · 2019
With precision components on circuit boards and other detection techniques becoming increasingly demanding, AOI has the characteristic of non-contact, high speed and high precision, which makes it widely used in the detection field. In order to improve the detection efficiency, detection area trajectory of CCD camera needs to be planed before the test. In this paper, the genetic algorithm is used for clustering component to be detected, thus determine the area for detecting. Generate the individual of local optimal solution on the basis of actual constraints, which could quickly find the optimal solution to clustering, reducing the number of iterations. This algorithm effectively solves the problem of detection range optimization during the automated optical detection, which has a great impact on improving the detection efficiency.