gcv9htd Goto Github PK
Name: CV
Type: Organization
Bio: Photogrammetry & Computer Vision, 3D Reconstruction
Location: ECUT
Name: CV
Type: Organization
Bio: Photogrammetry & Computer Vision, 3D Reconstruction
Location: ECUT
A system which alarms the driver as soon as it detects that the driver is becoming drowsy to prevent any accident.
Computer Vision model to detect eyes and alert when the user is drowsy.
Driver Drowsiness detection
Driver drowsiness detection android app
Drowsiness Detection
Google Build For Digital India Project
Deep Neural Networks, CNN, Tensorflow, OpenCV.
This project is used to detect whether a driver is drowsy or not.
Driver Drowsiness Detection System using python and OpenCV
Automated system to alarm the driver from drowsiness conditions
To detect the drowsiness of Driver with openCV and Keras
This is a Python code for drowsiness detection system using Haar Cascades. Here we have used the OpenCV library to monitor the real-time video of the driver and to detect the face and the eyes of the driver.
It uses ADXL335 3-axis accelerometer to detect the head posture of the user to determine whether the driver is feeling drowsy or not.
detection of drowsiness
Driver Drowsiness Detection project with Python
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy
Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the development of such systems encounters many difficulties related to fast and proper recognition of a driver’s fatigue symptoms. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision-based approach. Here we are detecting the driver drowsiness by estimating the vision system of him.
Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
Detect driver drowsiness and gaze direction
drowsiness detection
Driver drowsiness detection system using Computer Vision
Developed an application that alerts the driver in case the driver feels drowsy.
Real time drowsiness detector build using OpenCV and Dlib libraries. If the driver's eyes are closed for a long period , the program will alert the user by playing an alarm sound.
to detect driver drowsiness
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