Sample files for training a cascade classifier to detect human outlines using OpenCV

A simple Face Recognition code using OpenCV and Haarcascade Classifier

In this project we are presenting the real time facial expression recognition of seven most basic human expressions: ANGER, DISGUST, FEAR, HAPPY, NEUTRAL SAD, SURPRISE.

Catch the pigeon game in python, which implements some computer vision concepts. The game mechanics are based on motion detection, using a cascading classifier based on Haar features.

Python program that uses Haar Cascade Classifier to automatically detect faces in an image or video.

The Forculus Automatic Door Access System is designed to enhance security, efficiency, and energy savings in public spaces. By utilizing computer vision algorithms and intelligent person detection, the system ensures safe and contactless operation of automatic doors.

This repository contains a collection of computer vision projects using OpenCV, DLib, and Mediapipe. It includes implementations of facial detection, facial classification, facial landmark detection, and hand tracking.

Object detection using Haar-cascade and OpenCv

A tool for making a training dataset for image classification, mainly for Darknet/YoloV3.

DIKY:DoIKnowYou? is an implementation of a Face Recognition framework using Haar Cascade classifiers inspired from the CVPR 2001 paper by Viola-Jones that can handle multiple client verification requests on a server using Multithreading and Synchronisation Policies.

Facial Recognition using python, OpenCV, Haar Cascade.

The goal of this mini project is to detect cars on a road recorded from a cctv footage using OpenCV and Haar Cascade Classifier.

sklearn의 KNeighborClassifier를 이용한 사람 얼굴 분류 및 분류된 얼굴 블러처리

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.

A Python-based project leveraging OpenCV for enhanced real-time face and eye detection. This repository features a custom-trained Haar Cascade model, offering improved accuracy for detecting faces and eyes in images, videos, and live webcam feeds. Developed during an internship at Innovate, this project welcomes contributions to further improvement

Automatic License Plate Detection system to manage car access to the property

Detection of Face, Eye & Lip using OpenCV.

Car & Pedestrian Tracker using haarcascade(OpenCV)

Detects if a human face is wearing a mask or not. Live camera can be integrated and used in shops, offices, banks or any other public place for ensuring safety during the COVID-19 period. Algorithms used: SVM, Haar Cascade. No Deep Learning algorithms used.

This software is designed to apply artificial intelligence to a real specific application (face-detection)