Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Printed Circuit Board Defect Detection Using Mathematical Expression in Image Processing

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2304031,
        author={R Vijaya Geetha and M. Vijaya Bharathi},
        title={Printed Circuit Board Defect Detection Using Mathematical Expression in Image Processing},
        proceedings={Proceedings of the First  International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India},
        publisher={EAI},
        proceedings_a={ICASISET},
        year={2021},
        month={1},
        keywords={arithmetic and logical expression image processing and detection rate},
        doi={10.4108/eai.16-5-2020.2304031}
    }
    
  • R Vijaya Geetha
    M. Vijaya Bharathi
    Year: 2021
    Printed Circuit Board Defect Detection Using Mathematical Expression in Image Processing
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2304031
R Vijaya Geetha1,*, M. Vijaya Bharathi1
  • 1: Department of Electronics and Communication Engineering Dr. T. Thimmaiah Institute of Technology, Kolar Gold Field, Karnataka
*Contact email: vijayageetha@drttit.edu.in

Abstract

in electronic circuit board, numerous methods have been developed to detect the faults presents on printed circuit board (PCB). It is important to identify the fault in order to investigate and recognize the root source of the defects. This method aims to identify and classify the faults presents on bare layered single PCB using easy mathematical expression. Proposed method have utilized by simple arithmetic and logical equations of NOT, SUBTRACT and XOR operation in im-age processing tool. Resultant image are classified by binary thresholding. Test image and printed PCB images have used for experiments and identified seven various defects on them. In industrial purpose, testing the manufacturing defects on huge number of PCBs using Image processing leads less consume time and ef-fective way of detecting fault in metal prints.