International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)
Follow Us On :
current issues
Volume-11,Issue-2  ( Nov, 2023 )
Statistics report
Jun. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 20
Paper Published : 176
No. of Authors : 459
  Journal Paper

Paper Title :
Biomedical Waste Management Through Segregation Using CNN and YOLO

Author :Sakshi Desai, Sonali Rokade, Pallavi Joshi, Vaishnavi Bhajibhakare, Aditi Joshi

Article Citation :Sakshi Desai ,Sonali Rokade ,Pallavi Joshi ,Vaishnavi Bhajibhakare ,Aditi Joshi , (2023 ) " Biomedical Waste Management Through Segregation Using CNN and YOLO " , International Journal of Advances in Computer Science and Cloud Computing (IJACSCC) , pp. 61-63, Volume-11,Issue-1

Abstract : To protect the public's health and safety, biological waste must be properly separated. In this study, the segregation of biological waste is automated using computer vision techniques. The device makes use of a camera module that takes pictures of the biological waste and uses machine learning techniques to process them. A variety of categories, including infected, non-infectious, recyclable, and non-recyclable garbage, are created by the algorithm for classifying waste. Any waste produced during medical procedures, such as the diagnosis, treatment, or immunization of people or animals, is referred to as biomedical waste. It consists of abandoned medical items such bandages, gloves, syringes, needles, and syringes. The spread of viruses and diseases as a result of inadequate biomedical waste disposal might constitute a serious hazard to public health. In comparison to the human segregation procedure, the employment of computer vision algorithms in biological waste segregation offers a substantial advantage. The method decreases the possibility of contamination and gets rid of human mistakes. The technology is also scalable and capable of quickly handling massive amounts of garbage. The project's goal is to offer a dependable and effective system for segregating biological waste that will enhance public health and safety. Keywords - Biomedical waste, Segregation, Health care, Convolutional Neural Network, Machine learning, Waste management, Environmental Protection

Type : Research paper

Published : Volume-11,Issue-1


Copyright: © Institute of Research and Journals

| PDF |
Viewed - 12
| Published on 2023-12-29
IRAJ Other Journals
IJACSCC updates
IJACSCC Volume-11,Issue-2(Nov, 2023)
The Conference World


Warning: include(footer.php): failed to open stream: No such file or directory in /home/dakhinaray/public_html/ITRESEARCH_WEBSTE/IRAJ.IN/journal/IJACSCC/paper_detail.php on line 842

Warning: include(): Failed opening 'footer.php' for inclusion (include_path='.:/opt/alt/php56/usr/share/pear:/opt/alt/php56/usr/share/php') in /home/dakhinaray/public_html/ITRESEARCH_WEBSTE/IRAJ.IN/journal/IJACSCC/paper_detail.php on line 842