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

| DOI: 10.17148/IARJSET.2021.81201