A new way to prevent distracted driving.
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Updated
Feb 23, 2018 - Kotlin
A new way to prevent distracted driving.
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.
This Distracted Driver Detection Project is developed by a group of 5 students as part of "CS 539 Machine Learning" Course
Detect distracted drivers using a trained CNN
Bosch Hackathon
Distracted Driver Classification
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…
Computer Vision course project - IIIT Delhi CSE544
Final Group Project for DSO110 Data Science
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
Full-stack mobile application with accountability and assistance features to mitigate the risks of distracted driving.
Proyecto 1 - Programacion Concurrente Y Paralela
Demo telematics app for React-Native. The application walks you through the telematics SDK integration.
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
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