Detection System for Mobile Phone Interface Circuit Board Assembly Based on Computer Vision

Abstract

The quality of Mobile Phone Interface Circuit Board Assembly (MPICBA), as one of the main components of mobile, has a direct impact on the entire performance and service life of the final mobile phone, therefore it is highly regarded and widely worried in the process of mobile phone assembly. At the moment, MPICBA is usually assembled on a semi-automatic assembly line, with low assembly quality and low assembly reliability, relying primarily on manual vision for assembly, which has labor intensity and labor inefficiency issues, and thus cannot meet the stability and reliability requirements of mass production. This paper, titled "Detection System for Mobile Phone Interface Circuit Board Assembly Based on Computer Vision," analyzes the above-mentioned content by studying key technologies for MPICBA, such as image acquisition and processing, image extraction algorithm optimization, and edge algorithm recognition, based on the aforementioned problems. This is used to build and create an detection system for MPICBA using computer vision. This paper analyzes and designs a MPICBA detection system, and proposes a computer vision approach to the detection of MPICBA to address the current problem of low manual efficiency in circuit board assembly, and to achieve online detection and assembly of MPICBA, as well as in the design of the automated system for system stability and repeatability.