Driver Drowsiness Detection using Raspberry Pi - Brossura

Potluri, Tejaswi

Brossura

ISBN 10: 6206843203 ISBN 13: 9786206843207

Casa editrice: LAP LAMBERT Academic Publishing, 2023

Riassunto

Preventing road accidents caused by drowsy drivers is crucial for road safety. To achieve this, drowsiness detection while driving is necessary. The detection process involves monitoring the driver's eye movements, head position, and facial expressions. The latest advancements in computer vision and machine learning enable the detection of drowsiness signs in real time. Our goal is to create a drowsiness detection system that alerts drivers before it's too late for an accident to occur. This system can be incorporated into vehicles, personal devices, providing a successful solution for reducing the threat of drowsy driving. In conclusion, the proposed driver drowsiness detection system using Raspberry Pi provides a reliable and cost-effective solution for enhancing road safety. By detecting and alerting the driver to their drowsiness, the system can prevent accidents caused by drowsy driving, reducing the risk of injuries and fatalities on the road.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 6206843203
• ISBN 13: 9786206843207
• Rilegatura: Copertina flessibile
• Numero di pagine: 60
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania