Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 22 | Page No.: 5363-5369
DOI: 10.3923/jas.2013.5363.5369

High Precision Measurement System of Micro-electronic Connector based on Machine Vision

Daxing Zhao, Wei Feng, Guodong Sun and Yu Peng

Abstract: Micro-electronic connector is widely used in electronic products and electrical equipments. The traditional quality detection method for micro-electronic connector relies on manual inspection, which is inefficient and susceptible to subjective factors. A high precision measurement system of micro-electronic connector has been developed based on machine vision in order to improve detection efficiency and measurement accuracy. Firstly the system architecture for high precision measurement is presented. Then the segmented image acquisition by cameras is introduced and unique ROI setting function of this system can realize the detection and measurement for various types of micro-electronic connectors. Finally an algorithm based on image processing is designed to achieve seamless splicing of segmental images. The experiments have proved the defect recognition rate of proposed system can surpass 95% and the measurement accuracy reaches 0.007 mm. The system performance can meet the high precision measurement requirements of micro-electronic connectors. Therefore this high precision measurement method can save the human resources and ensure the quality of micro-electronic connectors.

Keywords: micro-electronic connector, Machine vision, precision measurement and region of interest

REFERENCES