Human-detection-and-Tracking

Face Detection | Recognition | Attendance

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

The face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary traditional way of recording attendance involves human intervention and requires cooperation of the students which is hectic and contribute towards waste of class time. An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them. The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is recognized using Local Binary Patterns Histogram.

Local Binary Patterns Histograms (LBPH) implementation in Go

Face Detection & Recognition Based Attendence System

A Desktop App made in Python to handle tasks related to Attendance Management of an Institute

Repositório utilizado para armazenar algoritmos de reconhecimento facial

pet recognition using (for now) basic LBPH features comparing and Yolov3 detection + HaarCascade detection

Android application for gender, age and face recognition using OpenCV and JavaCV libraries

worked on the problem of human detection, face detection, face recognition and tracking an individual

Classifies a given aadhaar image to real or fake by doing two levels of analysis.

Artificial Intelligence (AI) based facial recognition system for a hassle-free entry and exit management in different types of communities.

This is a simple Face Recognition project using Python OpenCV, to learn and understand the basics of a project.

Face Detection & Recognition System made in JAVA using JavaCV

An Automated Attendance system by face recognition (Python)

A facial recognition application built with LBPH algorithm

Atuomated attendance system which takes video input of entire class and uses face recognition to create database of present students at end of lecture

Face Detection | Recognition | Attendance | Online Classes

This Repository contains Code for Facial Recognition and Identification using Open CV and Python with Tkinter GUI interface.

Using Face Recognition to send a mail 📧 , WhatsApp 📲 and launching AWS instance 💻

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.

Automated attendance system using face recognition, built with Python, OpenCV, and Tkinter. Captures, trains, and tracks attendance seamlessly with real-time updates and CSV integration.

Facial recognition using Python + OpenCV.

Simple and easy train - your own dataset and use it to recognize faces.

Simple implementation of live face recognition using OpenCV implementing LBPH algorithm for recognizing faces and HaarCascade pretrained model to detect faces.

VisiAttend is an AI-powered attendance system that automates tracking using facial biometrics. Built with OpenCV and Tkinter, it detects and recognizes faces through the LBPH algorithm, ensuring accurate, contactless identification. It enables secure registration, real-time logging, and efficient attendance management with a user-friendly interface

This is a Face recogniser program with opencv which can train the dataset and identity the person by the face

Face Detection using python

A generic face detection algorithm using haar-cascades and tweaking to improve the performance on raspberry pi 3.