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Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT

Author

Listed:
  • Tao Yang

    (State Grid Shandong Electric Power Company Jining Power Supply Company, China)

  • Jia Peng

    (State Grid Shandong Electric Power Company Tai'an Power Supply Company, China)

  • Haiteng Fang

    (State Grid Shandong Electric Power Company Linyi Power Supply Company, China)

  • Yanan Qiao

    (State Grid Shandong Electric Power Company Jining Power Supply Company, China)

Abstract

Restoring visual function has become a crucial goal in medical and scientific research fields. This study combined bionic vision and internet of things (IoT) technologies to construct an intelligent monitoring and data analysis platform. The platform uses multiple sensors to collect data and processes it with deep learning algorithms and time-series analysis. Research results show that there is a positive correlation between the platform usage duration and user satisfaction as well as data accuracy. Different user roles are also affected differently by the platform. Moreover, the platform has significantly improved work efficiency. However, the platform has issues in terms of technical stability, data quality, and system integration. In the future, it is necessary to optimize the platform in response to these problems, enhance its functions, and improve user experience and scalability, so as to better serve visually impaired patients and promote development of the biotechnology field.

Suggested Citation

  • Tao Yang & Jia Peng & Haiteng Fang & Yanan Qiao, 2025. "Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 19(1), pages 1-18, January.
    • Handle: RePEc:igg:jcini0:v:19:y:2025:i:1:p:1-18
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    References listed on IDEAS

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    1. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
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