A DROWSINESS DETECTION SYSTEM USING COMPUTER VISION AND IoT
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
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: 10.17148/IARJSET.2021.81201
This work is licensed under a Creative Commons Attribution 4.0 International License.