Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

A system which alarms the driver as soon as it detects that the driver is becoming drowsy to prevent any accident.

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Realtime drowsiness detector given driver's face image stream.

Driver drowsiness detector using OpenCV, Python, and Computer Vision techniques.

Prototype of an intelligent safety system for detecting driver drowsiness

Driver Drowsiness detection by monitoring his blink rate using IR sensors This project provides an efficient, easy low, cost way to detect and alert the driver about drowsiness. It can be installed on any system easily with low space consumption.

'Our drowsiness detector detects driver's eyes and if they are closed for more than 2 seconds and alerts driver'

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Detect if a driver is drowsy or not using a face detector and eye classifiier.

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.

Driver drowsiness detection with face recognition.

WID3013 Computer Vision And Pattern Recognition

Using Keras, OpenCV and Dlib frameworks in python to create a drowsiness and distraction detector which would monitor driver's face and sound an alarm when he dozes off or gets distracted while driving.

Around 100,000 people die or get severely injured each year world-wide due to Drowsy driving. Drowsy driving is when people feel fatigue or sleepy while driving. They are unconscious, and that leads to accidents, deaths and other big consequences. To prevent that, I made a Drowsiness detector that checks whether a driver is feeling drowsy or not, and if they are, then this system will play an alarm to awake the driver.

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

YOLOV11 based closed/open eye detection using opencv, pytorch

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

drowsiness detector with computer vision and artificial intelligence to monitor drivers' journey

A Deep Learning model which uses the Convolutional Neural Network algorithm to detect whether the driver in a vehicle is drowsy or not,performed data augmentation on the training set and trained the model using CNN under different lightning conditions and used openCv along with Haar Cascade Classifier to detect the movements of the eye lids.

A drowsiness detector iOS application for drivers based on heart rate with adruino pulse rate sensor, BLE and Microsoft Azure

Sleep Detector is an AI-powered system that detects driver drowsiness in real time using deep learning and computer vision. It analyzes facial features from a webcam to classify drivers as drowsy or alert, helping prevent fatigue-related accidents. Built with Keras and TensorFlow, the model is trained on a labeled dataset for accurate detection.

Drowsy driver detection system using python and libraries like Dlib, pytorch, OpenCV, twilio api, Ipstack Api and prebuild ML model called 64 point detectors. The system would detect the driver and if found drowsy it would ring the alarm as well as send an emergency message on the sos number with the live location of driver.

ML-Project Android App features like- 1. Image Classification 2. Flower Identification 3. Object detection 4. Face Detection 4. Audio Classification 5. Bird Sound Identifer 6. Spam Text Detector 7. Driver drowsiness detect 8. Pose detection 9. Human Analysis 10. Face Recognition 11. Hide Face

In this project I've made a Drive Drowsiness Detector using Python, Pytorch and Yolo Model for Object Detection. Our aim was to build a fine tuned model which can help us to determine whether the driver is feeling drowsy or awake. We have used Ultralytics Yolo(v5) in this and used its base model which is trained on Coco dataset for object detection. After all the computation we were able to detect the face and provide the desired output in the real time by leveraging our webcam.

Driver drowsiness detector using OpenCv and Dlib

Real-time driver drowsiness detection using OpenCV and facial landmark analysis in Python.

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