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.

Python application for face detection and recognition using various algorithms.

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.

Face Detection & Recognition System made in JAVA using JavaCV

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

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.

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.

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.

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

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.

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.

CamRadar - Criminal detection and recognition project using the LBPH algorithm

Cypher Cam is a Python GUI Application that works on any OS, which uses a Surveillance Camera as hardware and LBPH & Haar-based algorithms to implement all the functionalities. Possesses features like Anti Theft Alarming System,Face and Motion Detection,Visitors Detection, & Normal Recording etc.