There are 1 repository under distracted-driving topic.
Zenroad - Open-source telematics app for Android. The application is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications
PyTorch-based Driver Posture Classification
An app which uses open CV to monitor if the driver is alert of asleep, and a state farm dataset trained model which scans for 9 different types of distraction.
Demo telematics app for Flutter. The application walks you through the telematics SDK integration. The technology is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications
Demo telematics app for React-Native. The application walks you through the telematics SDK integration.
This Distracted Driver Detection Project is developed by a group of 5 students as part of "CS 539 Machine Learning" Course
Bosch Hackathon
Full-stack mobile application with accountability and assistance features to mitigate the risks of distracted driving.
Detect distracted drivers using a trained CNN
In this, you are given driver images, each taken in a car with a driver doing something in the car (texting, eating, talking on the phone, makeup, reaching behind, etc). Your goal is to predict the likelihood of what the driver is doing in each picture. The 10 classes to predict are as follows, c0: safe driving c1: texting - right c2: talking on the phone - right c3: texting - left c4: talking on the phone - left c5: operating the radio c6: drinking c7: reaching behind c8: hair and makeup c9: talking to passenger
Final Group Project for DSO110 Data Science
Computer Vision course project - IIIT Delhi CSE544
A new way to prevent distracted driving.
Distracted Driver Classification