haarcascade-frontalface

piygot5/Cataract-Detection-and-Classification

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.

FarhanSadaf/face-mask-detection

Real-time face mask detection.

Play3rZer0/FaceDetection

Detecting faces in mages using Open CV and Haarcascades.

NahidEbrahimian/Face-Detection-using-Opencv

Face detection and replace stikers with face, eye and lip - Face align with eyes

OfficialBishal/Face-Detection-tracking-and-recognition-using-opencv-python-and-Arduino

High Security Surveillance Camera using OpenCV, Python & Arduino

neeru1207/GUI-Face-recognizer

A GUI based face recognizer coded in Python

Play3rZer0/FaceDetectWebcam

This uses face detection with webcam.

rakeshacharya-d/Facial_Expression_Recognition_6EMO

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.

bharat1611/realtime-emotion-detection-keras

Using Keras (Tensorflow), CNN and OpenCV, this model accurately identifies emotions from facial expressions in real-time video streams.

greatsharma/Custom-HaarCascade-FrontalFace

A custom made haar cascade for the frontal face using OpenCV.

johnbumgarner/facial_features_detection

This repository provides various Python methods for performing basic facial detection and facial features recognition.

kanugoyal/Face-Filters

Fun face filters with Python OpencCV. It uses Haar Casade Classifier, Dlib Face Detection Landmarks and the Mediapipe features to detect mainly faces positions, eye positions, and nose positions and use hands as a virtual mouse. It uses this information to overlay different accessories on the faces.

yash8005/Facial-Recognition-using-haar-cascade

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 face dismissal (low rate of false negative) yet with some wrong acknowledgment (false positive). Also, to dispose of these wrongly acknowledged non-human faces, a powerless classifier in light of face skin tint histogram coordinating is connected and a dominant part of non-human countenances are evacuated. Next, another frail classifier in view of eyes identification is attached and some leftover non-human appearances are resolved and dismissed. At last, a mouth recognition task is used to the rest of the non-human appearances and the false positive rate is additionally diminished.

abhishekkaul/Real-Time-Face-Recognition

Real Time face Recognition using Python

Akash-Ramjyothi/Real-Time-Emotion-Recognition-System

Developed a Real-Time Emotion Recognition System using Deepface. The system can detect and recognize Emotions in a Real-Time streaming video or through a live webcam and display the results in the screen.

Anand-GitH/FaceDetection

Haar Classifiers - Adaboost for efficient face detection

ChaitanyaC22/Udacity-CVND-Project1-Facial-Keypoints-Detection

Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.

KuoFuKai/Personalized_Face_Effects_By_Word_Cards_On_Webcam

使用 Python + OpenCV 讓 User 能夠透過字卡自行控制臉部特效

Lillskog/Pan-tilt-face-tracker

Face tracking using OpenCV and a servo driven pan-tilt module on Raspberry Pi

Nizarassad/Face-detection

Face detection system powered by a train model by openCv

r-sajal/Automatic-Attendance-System-Using-Computer-Vision

Srishtikumari2002/Face-Recognition-Attendance-System

Face Detection | Recognition | Attendance | Online Classes

vipul43/object_detection

AnveshaM/Facial_Emotion_Recognition

Project aimed to compare the performances of MLP, SVM and CNN algorithms in detecting the facial emotions. It also uses a pre-trained model and evaluates its performance in facial emotion recognition.

AryanSharma9917/Face-Recognation

Face Recognition using Haarcascade

ELLIPSIS009/Attendance-Capture-System-Using-Face-Recognition

Attendance Capture System Using Face Recognition is a application implemented using Python, OpenCV, Pandas, Pillow, PySimpleGUI that works like an application that records attendace using Face Recognition.

Jatin-Goyal-552/Attendance_Using_Face_Recognition

A small project in Deep Learning and Open CV to take attendance using Face Recognition.

QuitoTactico/Proyecto-ReconocimientoDeRostros

Proyecto final para datos y algoritmos 2

SAhmadrezaAnaami/Face-detection-haar-cascade

Face detection using haar cascade in opencv-python

Sandeep-Varma/Facial-based-attendance-system

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

sanskaryo/Driver-Drowsiness-detection-alert

Drowsiness detection system with alert message and voice

Shubs044/Facial-Expression-Recognition-Model

FER model uses Convolutional Neural Network algorithm trained on FER2013 dataset to recognize five universal emotions of the Facial Action Coding System. It can detect multiple faces with exceptionally outstanding results. (IEEE Published)

shyyvam/Music-Recommendation-Using-EMotion-Detetction

A small project for emotion based music player.

solanki1993/Mask-and-social-distancing-detection-using-VGG19

Mask and social distancing measurement during covid 19 using vgg19 and haarcascade.

swagatobag2000/face-recognition-openCV

This module gets first trained by the pre-trained haar-cascade classifier, then using collected face data, it recognizes the user.