Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

High speed linear array CCD image data acquisition system based on machine learning

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294702,
        author={Kaiyong  Li},
        title={High speed linear array CCD image data acquisition system based on machine learning},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={machine learning; ccd; image data acquisition system;},
        doi={10.4108/eai.27-8-2020.2294702}
    }
    
  • Kaiyong Li
    Year: 2020
    High speed linear array CCD image data acquisition system based on machine learning
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294702
Kaiyong Li1,*
  • 1: Qinghai Nationalities University Physics and Electronic Information Engineering, Xi Ning, 810007 China
*Contact email: weiyi220@tom.com

Abstract

A high speed linear CCD image data acquisition system based on machine learning was designed to solve the problem of poor signal stability of traditional high speed linear CCD image data acquisition system. Set up the overall system architecture. On this basis, complete the system hardware design through CCD sensor, A/D converter, CCD drive controller, RAM read-write controller and PC; Through the CCD driver module, CCD signal processing module, image information reading module, image cache module, image information conversion mode and image information display module, the system software design was completed. Thus, the design of high-speed linear array CCD image data acquisition system based on machine learning was completed. Compared with the traditional high-speed linear CCD image data acquisition system, the experimental results show that the proposed high-speed linear CCD image data acquisition system based on machine learning has higher signal stability.