A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe
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Updated
Jun 16, 2024 - Python
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
Implementation of various ML algorithms and their application to real world problems
This is a machine learning/neural network model that is used to predict the likelihood of what the driver is doing in the picture.
Detecting a distracted driver using CNNs.
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…
Contains models implemented from scratch and a project implemented from end-to-end
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