by Eaman Alharbi , Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei • 18 days ago
A new study introduces the Surveillance and Waste Notification (SAWN) system, which utilizes deep learning models MoViNet and YOLOv8 to detect public littering in real-time. With global waste production escalating, this system aims to identify littering behaviors and violators through video surveillance. The project achieved impressive accuracy rates of 99.5% in detecting littering actions and license plates, addressing a significant environmental issue through advanced technology and promoting urban cleanliness and accountability.