Intelligent Driver Safety System Using Deep Learning
DEEPAK SB
Department Of Computer Science and Business Systems
Panimalar Institute of Technology Chennai, India
deepaknaruto.sbk@gmail.com
MARIA JONAL C
Department Of Computer Science and Business Systems
Panimalar Institute of Technology Chennai, India
maeiajonal99@gmail.com
CHAITHANYA KUMAR GM
Department Of Computer Science and Business Systems
Panimalar Institute Of Technology Chennai,
India
chaithanya200416@gmail.com
HEMALATHA S
Department of Computer Science and Business Systems
Panimalar Institute Of Technology Chennai, India
pithemalatha@gmail.com
Suma Christal Mary S
Department of Information Technology
Panimalar Institute Of Technology Chennai, India
ithod@pit.ac.in
Swagatha J P
Department of Information Technology
Panimalar Institute of Technology Chennai,
India
swagathajaisathish@gmail.com
Abstract— The Driver Accident Prevention System is a web-based solution leveraging deep learning to enhance road safety. It features two primary components. The first is a drowsiness detection system that uses a camera to capture the driver’s face, employing Haarcascade and a CNN model to detect closed eyes. If the system detects drowsiness, an alarm is triggered to alert the driver and prevent potential accidents. The second component is a driver sign recognition system, which utilizes MediaPipe and a trained Ridge Classifier to recognize signs. When a sign is detected, the system sends corresponding to hardware components, activating motors to respond accordingly. This dual-feature approach ensures both driver alertness and effective real-time sign-based assistance, reducing accident risks through AI-powered monitoring and automation.
Key Words - Edge Computing,Intelligent Transportation System (ITS), Media Pipe, Haar Cascade, Ridge Classifier
