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New system detects driver drowsiness using eye tracking

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a low-cost, real-time system to detect driver drowsiness using eye tracking and dynamic thresholding. The system aims to reduce road accidents caused by driver fatigue by monitoring eye patterns. When eyes are detected as closed for a specific duration, an alarm is triggered to alert the driver and prevent potential casualties. AI

IMPACT This system could improve road safety by providing a low-cost, real-time solution to detect and prevent accidents caused by driver fatigue.

RANK_REASON Research paper detailing a new technical method. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New system detects driver drowsiness using eye tracking

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Research paper detailing a new technical method. [lever_c_demoted from research: ic=1 ai=0.7]
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Fuzail Khan, Sandeep Sharma, M. R. Arulalan ·

    Development of Low-Cost Real-Time Driver Drowsiness Detection System using Eye Centre Tracking and Dynamic Thresholding

    arXiv:2609.13756v1 Announce Type: new Abstract: One in every five vehicle accidents on the road today is caused simply due to driver fatigue. Fatigue or otherwise drowsiness, significantly reduces the concentration and vigilance of the driver thereby increasing the risk of inhere…

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