13 skills found
mesutpiskin / Face Detection And Recognition:hurtrealbad:C# Face detection and recognition with EmguCV. Eigenfaces, Fisherfaces and LBPH algorithms.
wiseaidev / Face Recogntion DetectionFace Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.
Mikasha0 / FaceRecognitionAttendanceSystemFace Recognition Attendance System that can detect multiple face for automatic attendance. Used algorithm is LBPH for face recognition and haarcascade frontal face for face detection.
ananta15 / SmartAttendanceAttendance system using face recognition. Built in python using Tkinter as UI and MySQL as database
SohamDave08 / CamRadarCriminal recognition project using the LBPH algorithm
drahulsingh / Cypher CamCypher-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.
AbhashK1 / Face RecognitionFace Detection & Recognition System made in JAVA using JavaCV
riya060702 / Face Recognition Attendence SystemI have developed this face recognition Attendence system using Python. It is connected to an SQL database to store student details and attendence information. OpenCV and PIL libraries are used to capture the faces of student and store them in an image file. LBPH Face recognizer algorithm is used which is one of the easiest algorithms for face detection. HaarCascade frontal face algorithm is used which identifies the faces in an image.Tkinter is used to create user interface and datetime library is used to record attendence in real time. This recorded attendence can be exported using an excel or csv file
aezamsos / Automated Attendance Management System Using Face Recognition LBPH AlgorithmThe "Automated Attendance Management System Using Face Recognition (LBPH Algorithm)" automates attendance tracking through facial recognition. It employs the LBPH algorithm for accurate identification, replacing manual methods with efficient, reliable automation.
arafat4 / An Autonomous Attendance System Based On Machine Learning ConceptThe attendance check is hugely crucial in the management of the classroom. The time-consuming way of taking attendance is by the following prior methods such as signing the name in a paper sheet or calling the names of each student. In particular, it is vulnerable to cheating and other fraudulent activity. Artificial Intelligence based applications benefit from face recognition, which is a valuable piece of work. The suggested system aims to develop a comprehensive face recognition system capable of dealing with many photos. The central technological concept of this system is Machine Learning to detect human faces and identify a person. Haar-Cascade is a face detection algorithm that identifies the face from a sequence of photos used for training and testing. The dataset uses negative and positive images to train the algorithm called Local Binary Pattern Histogram (LBPH) and the same data has been used to check the system. The LBPH algorithm is responsible for recognizing faces in input images. Python Tkinter is very effective in making desktop GUI software, So the core element of the developed system is Tkinter. The database of the system is MySQL. With the capability of this technology trialed in a class, the outcome result is highly positive — a survey completed among students to inspect the students’ opinion and find out the advantages and disadvantages.
SKFazleeRabby / WhoamiA facial recognition application built with LBPH algorithm
CXY0112 / Face Recognition Algorithm Based On Caffe Framework And LBPH基于opencv C++开发的人脸识别，水平有限，欢迎大家提出宝贵建议和指导
Karthigaiselvam-R-official / Smart AttendanceAI-powered Face Recognition Attendance System using OpenCV face recognition. Features multi-face detection, Excel/CSV export, SHA-256 secured admin panel, and a modern CustomTkinter UI with theme toggle.
