Automatic Classification of Medical Waste

The medical industry is essential, but its waste poses significant risks. We propose a system for automating medical waste sorting using a lifter, image recognition, mechanical arm, and real-time monitoring. The lifter design is unique and maximises space without requring conveyor belts. Additionall...

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Bibliographic Details
Main Authors: Chen, En-Ni, Chen, Da-Chuan, Liao, Yu-Ping
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Belts
Image recognition
Industries
Lifter
Manipulators
Mechanical Arm
Medical Waste
Real-time systems
Technological innovation
YOLOv8-seg
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Summary:The medical industry is essential, but its waste poses significant risks. We propose a system for automating medical waste sorting using a lifter, image recognition, mechanical arm, and real-time monitoring. The lifter design is unique and maximises space without requring conveyor belts. Additionally, a self-printed mechanical arm is used to handle waste, reducing the risk of infection and promoting environmental, social, and governance principles and public health. The proposed recognition result achieved an overall accuracy of 96.67% precision with YOLOv8-seg.
ISSN:2768-4156
DOI:10.1109/ICASI60819.2024.10547993