A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe

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

Solves a kaggle problem of State Farm Distracted Driver Detection

This Distracted Driver Detection Project is developed by a group of 5 students as part of "CS 539 Machine Learning" Course

This is a machine learning/neural network model that is used to predict the likelihood of what the driver is doing in the picture.

Implementation of various ML algorithms and their application to real world problems

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…

Detecting a distracted driver using CNNs.

In this project, we present a hybrid deep learning model for real-time driver activity recognition in both day and nighttime conditions. For full details and insights, refer to the published journal article titled "An Intelligent Real-Time Driver Activity Recognition System Using Spatio-Temporal Features."

Contains models implemented from scratch and a project implemented from end-to-end