Real-Time Driver Vigilance: Advanced Assessment And Innovative Strategies

Author(s)	Prof. Rajan Verma
Country	India
Abstract	Ensuring the safety of drivers is a significant priority in today’s world, as driver inattention is a leading factor in road accidents. This research proposes an onboard monitoring system designed to assess and manage driver drowsiness and fatigue. The system functions by analyzing the driver’s face and eye movements, issuing warnings through an activated buzzer if any unsafe conditions are detected. Additionally, it triggers a blinking pattern in the vehicle’s tail lights to alert nearby drivers. The monitoring process involves a camera that tracks facial features and calculates the eye aspect ratio. The system generates an alarm if it detects prolonged eye closure or prolonged eye opening. Operating at a rate of 30 frames per second, the system utilizes a Raspberry Pi as its development platform, with OpenCV software and a single camera mounted on the vehicle’s dashboard. By incorporating advanced technology, the system aims to enhance driving safety for both the driver and passengers.
Keywords	Blinking pattern, Camera, Driver’s Alertness, Edge Detection, Eye aspect ratio, Face detection and monitoring, Highway, Passenger’s Safety
Field	Engineering
Published In	Volume 5, Issue 7, July 2024
Published On	2024-07-19
Cite This	Real-Time Driver Vigilance: Advanced Assessment And Innovative Strategies - Prof. Rajan Verma - IJLRP Volume 5, Issue 7, July 2024.

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