Trashbusters: Deep Learning Approach for Litter Detection and Tracking

arXiv:2404.07467v1 Announce Type: new
Abstract: The illegal disposal of trash is a major public health and environmental concern. Disposing of trash in unplanned places poses serious health and environmental risks. We should try to restrict public trash cans as much as possible. This research focuses on automating the penalization of litterbugs, addressing the persistent problem of littering in public places. Traditional approaches relying on manual intervention and witness reporting suffer from delays, inaccuracies, and anonymity issues. To overcome these challenges, …

abstract arxiv cs.cv deep learning detection environmental health litter major public public health research risks tracking trash type