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@article{160561,
        author = {Nitin Sharma  and Shivam Kumar and Varsha R Habbu and Impana Reddy and Dr. Kiran Agarwal Gupta},
        title = {YOLOBOAT:Machine learning based water cleaning boat using YOLO algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {921-926},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160561},
        abstract = {Due to urbanization,solid waste littering is an increasing concern for lakes, possibly threatening human health, ecological integrity, and ecosystem services. Water body management in urban landscapes requires best management practices To tackle this problem in an efficient way, we have developed a YOLOBOAT to detect,collect and segregate floating waste in water bodies in real time and make them garbage-free. It is a vision-based surveillance machine learning boat system that integrates raspberry pi and other sensors for real time debris monitoring and waste collection in relatively calm waters like lakes to replace manual cleaning of lakes. Model is trained on a custom dataset using YOLO v5 for object detection.},
        keywords = {Machine learning,YOLO,intersection of union,dataset,annotation,floating waste},
        month = {},
        }