Article Details

Abstract

To address the issues of untimely disinfection, insufficient classification accuracy, high manual workload, and elevated safety risks during medical waste disposal in healthcare facilities, this paper utilizes technologies such as machine vision, sensor detection, and microcontroller-based control, to design and implement a medical waste disinfection and compression device that integrates automatic induction-based disposal, intelligent recognition and classification, atomized disinfection, and compression packaging. The device collects state information through infrared, ultrasonic, and weight sensors, employs a visual recognition model to identify medical waste categories, and coordinates the disinfection, classification, and compression modules via the control unit, thereby achieving automated and enclosed processing of medical waste. Experiments and system tests show that the device completes the disinfection, classification, and compression of medical waste with relatively high accuracy, effectively reduces manual involvement and infection risks, and shows engineering applicability for improving the standardization and safety of medical waste disposal.

Keywords

Machine Vision; medical waste treatment; intelligent classification; automatic disinfection; waste compression; microcontroller-based control

References

1. [1] Xu Wugang, Ding Juncai, Ni Tengyu Research on a Split type Vertical Compression Garbage Equipment [J]. Special Purpose Vehicle, 2025 (3): 57-60
2. [2] Zhang Xuying, Kou Wenjun, Li Dongtao, etc Design of an intelligent integrated machine for sorting, disinfecting, and packaging medical waste based on machine vision [J]. Technology Vision, 2025, 15 (6): 74-76
3. [3] Feng Zhanbo, Dan Chaoying Research on Visual Recognition Technology Based on K210 [J]. Digital Communication World, 2024 (6): 21-23
4. [4] Gao Yunfan Research and Design of a Medical Waste Classification and Treatment Device [J]. Technological Innovation and Productivity, 2021 (4): 45-47
5. [5] Chen Hui, Zhao Zhengjie Research on Classification and Compression Garbage Bin for Railway Trains [J]. Railway Operation Technology, 2024, 30 (4): 40-42
6. [6] Wang Wenshuan, Wen Zhennan Analysis of energy-saving and noise reduction compression technology for garbage compression stations [J]. Construction Machinery Technology and Management, 2024, 37 (6): 85-87, 90
7. [7] Wang Wenqing Research on the Conceptual Design and Social Application Potential of Intelligent Medical Waste Recycling Equipment [J]. China Machinery, 2025 (25): 24-27, 32
8. [8] Wang Tiannuo, Zhan Wenxia Halcon based positioning method for non-standard irregular parts sorting points [J]. Modern Information Technology, 2025, 9 (2): 180-184
9. [9] Zhang Xinyu, Yang Zhongliang, Zhou Zhe, etc Design of Intelligent Recognition and Sorting System for Multi Objective Medical Waste Classification [J]. Journal of Intelligent Systems, 2024, 19 (3): 584-597
10. [10] Zhong Yingsi, Zhao Ziwei Overview of Intelligent Classification Technology for Infectious Waste in Medical Waste [J]. Science and Innovation, 2021 (14): 123-125129

Funding

Provincial College Students' Innovation and Entrepreneurship Training Program Project (202211819118)

About the authors

Wu Junxi (2005-), male, Han ethnicity, from Jiangmen, Guangdong Province, undergraduate studies, research direction: Mechanical and Electronic Engineering; Chen Kai (2005-), male, Han ethnicity, from Shenzhen, Guangdong Province, undergraduate studies, research direction: Mechanical and Electronic Engineering; Lin Rimao (2002-), male, Han ethnicity, Guangdong Maoming celebrity, assistant engineer, bachelor's degree, research direction: intelligent manufacturing; Chen Jiawei (2003-), male, Han ethnicity, from Guangzhou, Guangdong, assistant engineer, bachelor's degree, research direction: equipment manufacturing; Corresponding author: Huang Yongbo (1981-), male, Han ethnicity, from Chaozhou, Guangdong, senior engineer, bachelor's degree, research direction: mechanism design and motion control.