A car safety technology that can auto-detect driver drowsiness in real-time. This system can prevent road accidents that are caused by drivers who fell asleep while driving.
The Real-Time Eye Blink Detection and Counting project uses OpenCV and dlib to detect and count eye blinks in real-time through a webcam feed. It utilizes dlib's facial landmark detection model to locate key points around the eyes and calculates the blinking ratio.
This repository provide a template/workspace for quickly training an object detector using HOG+SVM
Recognizing Hand Gestures using OpenCV and Python and machine learning algorithms (NN,SVM) to automatize repetetive actions.
Built a tool that can track a student's attentiveness in an online class and can alert teacher if student isn't attentive using Computer Vision.
In this project, we are going to learn how to perform Facial recognition with high accuracy. and Attendance project that will use webcam to detect faces and record the attendance live in an excel sheet.
This face filter application uses dlib library to detect facial landmarks and use this information to overlay different accessories on the faces.
Implementation of Cursor Control with Facial gestures 🙂😯😌 [Academic Project]
Implement a face recognition system using Dlib and package it as a FastAPI microservice, supporting user registration, deletion, and management functionalities.
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