Aura Zahra Salsabila

Optimization of Drowsiness Detection Using Eye, Mouth, and Hand Detection System On Raspberry Pi

Driver drowsiness and fatigue-related crashes remain a major public-safety concern, including in D.I. Yogyakarta, where traffic accidents increased from 4,559 cases in 2020 to 7,830 in 2022. Previous Raspberry Pi 4B–based work using Haar Cascade, Dlib 68-point landmarks, Eye Aspect Ratio (EAR), and Lip Distance provide...