A Development of Anti-Sleep Driving Real Time Detection System

Teerawat Pichatrujiroj, Supisara Pimtakarn, Tanairat Mata

Abstract


This paper proposes a development of anti-sleep driving real time detection system for reducing the chance of car accidents. The proposed system can detect and analyze the characteristics of the driver and warn the driver immediately when he is sleeping. In this paper, the system will detect the driver sleepiness from the characteristics of the eyes head and mouth, respectively via the camera module and perform their images by image processing with the Raspberry Pi 3B+ in real-time. From the experimental results in this paper, it can be confirmed that the proposed system has the potential capability to apply in the real use with the low detection response errors which are approximately 4%, 5.36% and 4.12% from eye head and mouth detector respectively.

Keywords


Driver sleepiness; anti-sleep driving detection (eyes, head and mouth); Real time

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References


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