distracted-driving-detection

There are 10 repositories under distracted-driving-detection topic.

  • e-candeloro/Driver-State-Detection

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

    Language:Python1243228
  • TelematicsApp-Android

    Mobile-Telematics/TelematicsApp-Android

    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

    Language:Kotlin614319

  • Abhinav1004/Distracted-Driver-Detection

    Solves a kaggle problem of State Farm Distracted Driver Detection

    Language:Jupyter Notebook5231029

  • Raj1036/ML_Distracted_Driver_Detection

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

    Language:Jupyter Notebook8116

  • hamna-moieez/MachineLearning

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

    Language:Jupyter Notebook1000

  • phoenix-1-2/Distracted-Driver-Detection

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

    Language:Jupyter Notebook1103

  • samyak24jain/distracted-driver-detection

    Detecting a distracted driver using CNNs.

    Language:Jupyter Notebook1101

  • shsarv/Distracted-Driver-Detection

    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

    Language:Jupyter Notebook120

  • ManiKumarReddy35/Machine-Learning

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

    Language:Jupyter Notebook0100

  • thom22/Deep-Learning-Approach-for-Advanced-Driver-Assistance-System

    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."

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