A real-time driver drowsiness detection system using Convolutional Neural Networks (CNN) and OpenCV. It detects eye closure and triggers an alarm if eyes remain closed for 10 seconds, helping to ...

National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...

Abstract: It is well known that blink, yawn, and heart rate changes give clue about a human's mental state, such as drowsiness and fatigue. In this paper, image sequences, as the raw data, are ...

This is a face recognition program that uses a webcam feed to detect and recognize faces. It allows the user to register new faces by associating them with names and stores this information for future ...

Despite considerable efforts by researchers to develop efficient driver drowsiness detection systems, none so far has been widely adopted due to their high cost, intrusive nature, and ineffectiveness ...