piyushbajaj0704 / Driver-Sleep-Detection-Face-Eyes-Mouth-Detection
As part of my thesis project, I designed a monitoring system in Matlab which processes the video input to indicate the current driving aptitude of the driver and warning alarm is raised based on eye blink and mouth yawning rate if driver is fatigue. It is implemented using Viola-Jones and Sobel techniques for facial features detection.
☆54Updated 6 years ago
Alternatives and similar repositories for Driver-Sleep-Detection-Face-Eyes-Mouth-Detection:
Users that are interested in Driver-Sleep-Detection-Face-Eyes-Mouth-Detection are comparing it to the libraries listed below
- 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
- drowsiness detection☆144Updated 5 years ago
- Detect driver drowsiness and gaze direction☆81Updated 6 years ago
- Drowsy driver detection using Keras and convolution neural networks.☆109Updated 6 years ago
- CNN+LSTM; Video classification; Four categories(Normal; Smoking; Using mobile; Off seat)☆43Updated 7 years ago
- Driver fatigue detection based on eye state analysis☆46Updated 6 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
- Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.☆41Updated 6 years ago
- This is an implementation of FATAUVA-Net model in paper: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action U…☆19Updated 7 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.☆19Updated 7 years ago
- This project is aimed to train model that detects talking and yawning from sequential images.☆17Updated 3 years ago
- This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.☆32Updated 8 years ago
- driver monitor system based on deep learning☆63Updated 4 years ago
- real-time face detection and emotion classification☆66Updated 6 years ago
- Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hype…☆57Updated 7 years ago
- Gaze-Tracking based on head orientation and eye orientation☆66Updated 5 years ago
- Recognize yawning behavior in driving video☆8Updated 7 years ago
- This is a project about detecting spoofing in images using CNN and SVM☆32Updated 6 years ago
- 人工智慧學校的期末專題 - 疲勞駕駛偵測☆13Updated 6 years ago
- A project can perform face-detection in image/webcam, based on opencv and deep-learning☆35Updated 6 years ago
- Intelligent Driver Monitoring system for Autonomous Vehicles☆55Updated 4 years ago
- Automatically classification of each driver's behavior given a dataset of 2D dashboard camera images.☆36Updated 7 years ago
- Face Anti-spoofing demo to detect print, video replay, and mask attack by using LBP features and rPPG features.☆40Updated 5 years ago
- Realtime drowsiness detector given driver's face image stream.☆31Updated 8 years ago
- kaggle走神司机预测☆14Updated 6 years ago
- Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.☆97Updated 7 years ago
- Pedestrian detection using Mobilenet SSD and tracking☆17Updated 6 years ago
- This is a C++ code for face anti-spoofing methods based on color texture features.☆70Updated 6 years ago
- 2 networks to recognition gender and emotion; face detection using Opencv or Mtcnn☆22Updated 6 years ago
- ☆14Updated 6 years ago