Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT

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.

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Publication Details

Journal
International Journal of Cognitive Informatics and Natural Intelligence
Published
2025-05-31
DOI
https://doi.org/10.4018/ijcini.378677
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT

Tao Yang, Haiteng Fang, Jia Peng, Yunfen Qiao
International Journal of Cognitive Informatics and Natural Intelligence
Neuroscience and Neural Engineering
article

Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT

Tao Yang, Haiteng Fang, Jia Peng, Yunfen Qiao
article en

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.

International Journal of Cognitive Informatics and Natural IntelligenceVol. 19(1)
Shanghai Electric (China) (CN)
Openalex Percentile: Top 87%
Neuroscience and Neural Engineering
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Intelligent Biotech Monitoring Platform Integrating Bionic Vision and IoT — Tao Yang, Haiteng Fang, et al. · International Journal of Cognitive Informatics and Natural Intelligence (2025) | TGRS Research Map | TGRS