DRIVEEYE: Smart Driver Safety Monitoring Using Real-Time Computer Vision
Year: 2026
Type: preprint
Abstract: Driver drowsiness is a significant road-safety concern because reduced alertness can affect attention, reaction time and vehicle control. This paper presents DRIVEEYE, a low-cost real-time driver safety monitoring prototype that observes visible signs of drowsiness using a camera. The current system uses a laptop webcam and computer-vision processing based on OpenCV and MediaPipe facial landmarks. It monitors prolonged eye closure and head position and generates an audio warning when the defined drowsiness condition is reached. A time-based threshold is used so that ordinary short blinking is not treated as drowsiness. The paper describes the system architecture, workflow, detection logic, qualitative evaluation and proposed hardware integration. The future system is intended to use a compact processing unit, driver-facing camera, speaker and rear-facing road camera. The prototype demonstrates the feasibility of a simple non-contact approach while also identifying the need for broader validation before any safety-critical deployment.
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225816644
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