tnaduc / Distracted_Driver_Detect_Classify
Using deep convolutional neural networks to detect and classify different types of driver distractions. Full project description and modelling process are included, e.g., data analysis and processing a
☆9Updated 8 years ago
Alternatives and similar repositories for Distracted_Driver_Detect_Classify:
Users that are interested in Distracted_Driver_Detect_Classify are comparing it to the libraries listed below
- 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
- drowsiness detection☆149Updated 5 years ago
- Drowsy driver detection using Keras and convolution neural networks.☆110Updated 6 years ago
- The supporting code used for the baseline temporal method on the UTA-RLDD dataset☆75Updated 3 years ago
- StateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models☆34Updated 5 years ago
- facial emotion recognition with CNN and LSTM☆54Updated 3 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…☆99Updated 6 years ago
- Detect driver drowsiness and gaze direction☆81Updated 6 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
- ☆12Updated 5 years ago
- Solves a kaggle problem of State Farm Distracted Driver Detection☆54Updated 9 months 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
- This is a project implementing Computer Vision techniques to detect drowsiness of a driver and emit sound and luminous alert.☆13Updated 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
- System that can detect the drowsiness of drivers using CNN developed in Python - OpenCV, Keras☆9Updated 2 years ago
- Automatically classification of each driver's behavior given a dataset of 2D dashboard camera images.☆36Updated 7 years ago
- kaggle走神司机预测☆14Updated 6 years ago
- Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.☆172Updated last year
- Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).☆55Updated 5 years ago
- Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial e…☆65Updated 5 years ago
- Action-Net is a dataset containing images of 16 different human actions.☆12Updated 5 years ago
- Human Activity Recognition Using Deep Neural Network☆19Updated 2 years ago
- Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.☆41Updated 6 years ago
- ☆112Updated last year
- Sample code that allows to train LSTM on different datasets (forked from harvitronix's repo).☆32Updated last year
- Computer Vision Project : Action Recognition on UCF101 Dataset☆39Updated 5 years ago
- gender/age classification☆49Updated 7 years ago
- CNN+LSTM; Video classification; Four categories（Normal; Smoking; Using mobile; Off seat）☆44Updated 7 years ago
- TensorFlow implementation of GoogLeNet.☆11Updated 6 years ago
- Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)☆62Updated 2 years ago