This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.
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Updated
May 26, 2021 - Jupyter Notebook
This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.
Real-time face mask detection.
Detecting faces in mages using Open CV and Haarcascades.
Face detection and replace stikers with face, eye and lip - Face align with eyes
College mini-project, Facial Recognition System using OpenCV on Raspberry Pi 4. Using simple Haar-Cascade and LBPH to detect and recognize. Picamera2 library for latest camera-stack
High Security Surveillance Camera using OpenCV, Python & Arduino
A GUI based face recognizer coded in Python
Classifies face based on emotion into Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral. A web interface is used to perform real-time on image and video data.
This uses face detection with webcam.
A custom made haar cascade for the frontal face using OpenCV.
This repository provides various Python methods for performing basic facial detection and facial features recognition.
Human face identification has been a testing issue in the regions of picture preparing and patter acknowledgment. Another human face location calculation by crude Haar course calculation joined with the refreshed changes are to be examined.First, pictures of individuals are handled by a crude Haar course classifier, almost without wrong human fa…
Face Detection | Recognition | Attendance | Online Classes
Haar Classifiers - Adaboost for efficient face detection
Real Time face Recognition using Python
Face tracking using OpenCV and a servo driven pan-tilt module on Raspberry Pi
This module gets first trained by the pre-trained haar-cascade classifier, then using collected face data, it recognizes the user.
Facial-recognition Attendance system which detects and recognizes faces and marks attendance with high accuracy from webcam video feed in real-time with live display in a window after training a model with a set of images
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