Sep 3, 2020 · In this project, we are going to build a Sleep Sensing and Alerting System for Drivers using Raspberry Pi, OpenCV, and Pi camera module. The basic purpose of this system is to track the driver’s facial condition and eye movements and if the driver is feeling drowsy, then the system will trigger a warning message.

The primary objective of this system is to monitor a driver's state in real time, analyzing image frames captured from within the vehicle to determine whether the driver is exhibiting signs of drowsiness.

Realtime Drowsiness and Yawn Detector Using Raspberry Pi or Any Other PC: In the current epoch, drowsy driver detection is the most necessary procedure to prevent any road accidents.

This system utilizes machine learning and computer vision techniques to detect drowsiness in a driver, hosted on a Raspberry Pi. It's designed to promptly alert the driver when signs of drowsiness are detected using an integrated buzzer.

A real-time driver monitoring system built with Python, optimized for Raspberry Pi, to enhance road safety by detecting signs of drowsiness through facial landmark analysis. The system identifies prolonged eye closure and yawning and triggers alerts to keep the driver awake.

GitHub - AbdullahAlokayl/RaspberryPi-Drowsiness-Detection: A real-time Raspberry Pi system for detecting driver drowsiness and vehicle crashes using facial landmarks, head pose, and motion sensors. Sends GPS-based emergency SMS alerts via Twilio and displays live driver status on an LCD. Cannot retrieve latest commit at this time.

With this paper, we are presenting technique to detect driver drowsiness using of Open CV, raspberry pi and image processing. Several studies have shown various possible techniques that can detect the driver drowsiness.

Driver Drowsiness Detection System for Accident Prevention Raspberry Pi project provided with circuit diagram, synopsis, report, synopsis & ppt.

We developed a prototype that detects the drowsiness of an automobile driver using artificial intelligence techniques, precisely using open-source tools like TensorFlow Lite on a Raspberry Pi development board.

Jan 19, 2023 · We designed a smart Driver Drowsiness Detection System using Raspberry Pi and Python that will keep track of a driver's eye movement.