Anti-Sleep Camera Detects Drowsiness, Activates Alert

A student-developed Anti-Sleep Camera-Based Alarm System uses a webcam and OpenCV to monitor drivers' eyes in real time and trigger audible and visual alerts when prolonged closure indicates drowsiness. The system employs Haar cascade classifiers and sends serial commands to an Arduino UNO to activate a buzzer and LEDs. Designed as a low-cost, non-intrusive prototype, it targets academic learning and practical safety applications.