Automatic Bio Medical Waste Segregator

• Published in: 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) Vol. 1; pp. 1124 - 1130
• Main Authors: C S, Sri Suvetha, C S, Saravanamani, S, Subiksha, S, Umamaheswari
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25-03-2022
• Subjects: Automation; Biomedical waste; Costs; COVID; COVID-19; Hazardous; Machine learning algorithms; Manuals; Medical Sector; Pandemic; Pandemics; Real-time systems; Turning
• ISSN: 2575-7288
• DOI: 10.1109/ICACCS54159.2022.9785342

The medical sector plays an important role in our day-to-day life, the waste generated from this field is creating a problem for the healthy survival of society. India generated nearly 18,000 tons of Bio-medical waste in four months (June 2019 to September 2019) during covid [1]. Around 20% of the waste produced is hazardous and could be toxic to humans who get exposed during manual waste segregation. Bio-medical wastes are harmful, infectious, and hazardous to humans. When it is dumped in landfills, chemicals present in it will not degrade which acts as the major source of pollutants turning the biosphere toxic. In this pandemic period, it is tough to manage this waste. Moreover, the people who are home quarantined due to coronavirus generate infectious wastes, this waste discarded as domestic waste pose several infections to the surrounding environment and workers. But it is important to manage medical waste to prevent the spread of infections but it is impractical to separate waste manually due to several disadvantages and issues. This paper aims to produce an autonomous solution in segregating of biomedical wastes without human interventions thus reducing the spread of infections to humans.