Human-detection-and-Tracking
Face Detection | Recognition | Attendance
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 trad…
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
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.
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.
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.
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.
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.
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