YOLOBOAT:Machine learning based water cleaning boat using YOLO algorithm

YOLOBOAT:Machine learning based water cleaning boat using YOLO algorithm
Author(s):
Nitin Sharma , Shivam Kumar, Varsha R Habbu, Impana Reddy, Dr. Kiran Agarwal Gupta
Keywords:
Machine learning,YOLO,intersection of union,dataset,annotation,floating waste
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.
Article Details
Unique Paper ID: 160561 Publication Volume & Issue: Volume 10, Issue 1 Page(s): 921 - 926
Article Preview & Download

Share This Article

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org