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

Cypher-Cam is a Python GUI application designed for surveillance using a webcam or surveillance camera. It includes features such as motion detection, noise detection, in/out tracking, and recording functionalities. The application has a user-friendly interface and supports a dark mode for better visibility in low-light conditions.

A real time face-detection application using LBPH. The application is developed in python using libraries such as OpenCV for computer vision. The application can register a face and perform detection for all the faces registered.

Face Detection & Recognition System made in JAVA using JavaCV

Python application for face detection and recognition using various algorithms.

A three-layered Java desktop application with GUI, MySQL database and face recognition using OpenCV

An AI-powered face recognition attendance system built with Java, Spring Boot, and OpenCV. Capture, train, and mark attendance seamlessly via camera or uploaded images.

This project comprises of hybrid model of LBPH, CNN and frontal_haascade model. Frontal Haarcascade is used for face detection from the image, LBPH(Local Binany Pattern Histogram) is used for face recognition and CNN is used for face mask detection system. mySQL database is used to store the records of employee, which is used while recognizing f…

When using face recognition to unlock your device, your phone could be unlocked by someone or something that looks like your image. The possibility of the exceptional cases where the current detector can mistake fake image as a live input, the decision logic was already applied to strengthen the anti-spoofing function.

This project aims to achieve image recognition using artificial intelligence (AI) specifically for identifying people.

Face recognition using Haar Cascades for face detection and LBPH Face recognizer.

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

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

Identifying a face using haar cascade frontal face algorithm.

This Face Recognition System allows adding new faces, training a classifier, and real-time face recognition using a webcam. Built with Python and OpenCV.

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.

Face Recognition is a popular image processing technology ,the maintenance and evaluation of attendance records is critical in every organization's performance review. The aim of creating an attendance monitoring system is to automate the conventional method of taking attendance.

To develop a prototype device for visually-impaired individuals so they can navigate their route through a known or unknown environment by providing data and cues of common objects or of a known person, that surrounds such individual in their day-to-day life, by making a stand-alone device requiring minimum and transportable equipment.

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