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4 March 2024 Design of an intelligent medication delivery robot based on CNN and OpenCV
Yue Zhang, Di Xu
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Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129815Z (2024) https://doi.org/10.1117/12.3014833
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
Intelligent healthcare has become one of the highly regarded fields in the medical industry in China, and intelligent medication delivery devices are an important component within this domain. Intelligent medication delivery devices can prevent delays in medication delivery caused by human errors, improve work efficiency, and ensure quality of service. Particularly during the pandemic, these devices can effectively reduce the risk of infection among healthcare personnel. This paper presents the design of an intelligent medication delivery device based on CNN and OpenCV. The device utilizes a Raspberry Pi 3B+ as the main control unit and incorporates hardware modules such as five-channel grayscale sensors. The device employs the Dijkstra algorithm to determine the shortest path, utilizes OpenCV for image processing, and utilizes CNN for digit recognition. The device simulates medication delivery tasks within hospital wards. Through multiple tests, the device has consistently demonstrated efficient completion of medication delivery tasks.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yue Zhang and Di Xu "Design of an intelligent medication delivery robot based on CNN and OpenCV", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129815Z (4 March 2024); https://doi.org/10.1117/12.3014833
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KEYWORDS
Education and training
Detection and tracking algorithms
Data modeling
Design and modelling
Sensors
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