Congratulations on the publication of our paper in an academic journal

The technical paper "Machine Vision based Measurement Grade Plug in Terminal Inspection System" written based on the industrial vision development project of a listed enterprise completed by Fang Jianlong, the company's technology center, has recently been published in the "Design and Development" column of the provincial academic journal "Digital Technology and Applications" in March 2021 (Volume 39).

This paper designs and studies a high-precision visual inspection system for connector terminal size and position based on three sets of machine vision (lenses). The machine vision system integrates Canny edge detection technology, bubble sorting algorithm, GRR data analysis, multi-threaded control, Ethernet data interaction and other technical means to achieve high-precision online real-time detection of the size and position of the connector terminals on the factory production line. It solves the problem of only batch sampling in the laboratory and can meet the flexible online measurement level detection needs of various types of terminals in the factory.

SIRI Group is committed to providing automation solutions for enterprises of different industries and scales, focusing on industrial control automation, industrial robots, industrial vision inspection and other fields, helping customers improve economic efficiency, and empowering customers to achieve intelligent manufacturing.