Abstract: This paper presents the implementation of a drowsiness detection system using Computer Vision and IoT. The aim is to present an adaptive system that monitors the driver's face and detects when a driver is displaying drowsy signs based on a preset threshold level. This was achieved using algorithms compiled from OpenCV and Dlib libraries, implemented on a Raspberry Pi using Python codes. The implemented system was tested in real-life scenarios and the result showed a drowsy detection accuracy of 90%.

Keywords: Open CV; Drowsy driver; Raspberry pi; Internet of Things, Computer Vision


Downloads: PDF | DOI: 10.17148/IARJSET.2021.81201

How to Cite:

[1] Uche M. Chikezie , Nkolika O. Nwazor (Ph.D.)*, "A DROWSINESS DETECTION SYSTEM USING COMPUTER VISION AND IoT," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.81201

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