Suddh Salil - An Automative Waste Management Technology Using Machine Learning

• Main Authors: Mondal, Arnab, Dey, Ranita, Roy, Anubhav, Dutta, Sagnik
• Format: Conference Proceeding
• Language: English
• Subjects: Computer science; Education; Machine learning; Machine learning algorithms; suddh salil; support vector machine; Support vector machines; Surface cleaning; waste management; Waste materials; water pollution; YOLO V7
• ISSN: 2768-0576
• DOI: 10.1109/ICCECE58645.2024.10497262

In the era of pollution water being a resource we cannot waste. India is a country of agriculture and the need of water is high yet surface water is polluted thus cannot be used. Many water resources like ponds and small lakes in the village or urban area cannot be used just because the resources are not clean enough. Cleanliness is much needed; this is where the proposed model "Suddh Salil" comes into play its role. The proposed model will take out any kind of floating waste product from the surface of stagnant water. Cleaning of surface water by traditional way was to make people get in the water and retrieve the waste products. This procedure is time consuming as well as not very precise. This proposed model will clean the surface of any stagnant water resource with the help of machine learning algorithm. Thus, making the cleaning process more precise and with automation. The model can precisely clean upper surface of the stagnant water resource using panoramic vision algorithm, YOLO V7(You Only Look Once) and Support Vector Machine (SVM).