Advanced Waste Seclusion and Chucking System Using Deep Learning Techniques

Abstract

Any material that is undesirable or unusable is considered waste. Waste can be in any form (Liquid, solid or gas) but generally, waste is a solid form. There are various types of waste like paper, displeasing food, torn clothes, dried plants, kitchen waste, etc., Skin disease, diarrhea, tuberculosis, whooping cough, pneumonia etc.., are some other common diseases spread due to immoral waste management. Separating waste allows us to salvage more items, preventing their scraping in landfills. By reducing landfills disposal Segregating waste is important not only to reduce its impact on the environment but also to prevent health issues that can arise from the disposal of waste and toxins. Although the problem of waste segregation is a big challenge, there are several methods for automatic segregation, which eliminates the need for human hands. The proposed system utilizes Faster R-CNN algorithms to segregate waste into bio-degradable and non-biodegradable categories which, effectively eliminating the need for human involvement in the segregation process. This method employs artificial intelligence techniques to achieve waste segregation.