nkkumawat / Driver-Distraction-Detection
The system uses Convolutional Neural Network for extracting features in the training phase of the warning system.
☆11Updated 2 years ago
Alternatives and similar repositories for Driver-Distraction-Detection:
Users that are interested in Driver-Distraction-Detection are comparing it to the libraries listed below
- StateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models☆34Updated 5 years ago
- Trained MobilenetV2 model to recognize the distracted behaviors exhibited by drivers while driving. Deployed the Deep Learning model on t…☆15Updated 3 years ago
- Detects and alarms the driver when he/she is distracted while driving.☆18Updated 4 years ago
- This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.☆129Updated 7 years ago
- Intelligent Driver Monitoring system for Autonomous Vehicles☆57Updated 4 years ago
- Automatic incident detection on Indian Roads using Artificial Intelligence. Model is trained using Tensorflow object detection API. Use o…☆42Updated 6 years ago
- drowsiness detection☆146Updated 5 years ago
- This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.☆20Updated 7 years ago
- Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid acc…☆1Updated 5 years ago
- A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and the…☆98Updated 5 years ago
- Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.☆41Updated 6 years ago
- This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.☆28Updated 3 years ago
- A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The …☆130Updated last year
- Face-recognition using Siamese network☆208Updated 5 years ago
- The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of…☆61Updated 6 years ago
- Drowsy driver detection using Keras and convolution neural networks.☆110Updated 6 years ago
- Vehicle Speed Detection is a Python Script to track and detect the speed of a moving vehicle. This script can automatically detect the la…☆13Updated 4 years ago
- Face Detection & Recognition Based Attendence System☆44Updated 5 years ago
- Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.☆171Updated 11 months ago
- CNN model that detects distracted drivers on the road☆18Updated 5 years ago
- Detect driver drowsiness and gaze direction☆81Updated 6 years ago
- Driver fatigue detection based on eye state analysis☆46Updated 6 years ago
- Attendance system based on face recognition☆68Updated 4 years ago
- Car crash detector from dashcam video using Convolutional neural network☆49Updated 5 years ago
- YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-o…☆18Updated 5 years ago
- A drowsiness monitoring system for drivers.☆15Updated last year
- Solves a kaggle problem of State Farm Distracted Driver Detection☆54Updated 8 months ago
- Vehicle Speed Check☆264Updated 2 years ago
- The supporting code used for the baseline temporal method on the UTA-RLDD dataset☆75Updated 3 years ago
- Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.☆66Updated 6 years ago