Facial Recognition Based Attendance System using Python, Tensorflow, Keras, SqlLite3, Tkinter, OpenCV

Facial Recognition using OpenCV and Python

A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels.

Facial Expression Recognition (FER) for Mental Health Detection applies AI models like Swin Transformer, CNN, and ViT for detecting emotions linked to anxiety, depression, PTSD, and OCD. It focuses on AI for mental health, emotion detection using OpenCV Python, and real-time applications in healthcare and HR systems.

Computer vision facial recognition: Add glasses to faces using Haar cascade classifier! OpenCV + Python

Emotion Recognition using Facial Landmarks, Python, DLib and OpenCV on fer2013 dataset

A Python-based face detection system using OpenCV and Haar Cascade classifiers, designed for real-time facial recognition in images and video streams.

# Attendance-System-Face-Recognition This project is a web application demonstrating the use of facial recognition for marking attendance built as a part of my PS -1. It is a web application that can be used by the company to manage attendance of its employees. ## Functionality Supported - Admin and Employee Login - Admin : Register new employees. - Admin : Add employee photos to the training dataset. - Admin: Train the model. - Admin: View attendance reports of all employees. Attendance can be filtered by date or employee. - Employee - View attendance reports of self. ## Built Using - **OpenCV** - Open Source Computer Vision and Machine Learning software library - **Dlib** - C++ Library containing Machine Learning Algorithms - **face_recognition** by Adam Geitgey - **Django**- Python framework for web development. ### Face Detection - Dlib's HOG facial detector. ### Facial Landmark Detection - Dlib's 68 point shape predictor ### Extraction of Facial Embeddings - face_recognition by Adam Geitgey ### Classification of Unknown Embedding - using a Linear SVM (scikit-learn) The application was tested on data from 9 employees.

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The Smart Election System is a Python application that secures the voting process using facial recognition and Aadhar number verification. It captures face data via a webcam and stores votes in CSV files. Key technologies include OpenCV, pickle, numpy, and sklearn, ensuring a robust and efficient voting system.

Using a Raspberry Pi 4 running OpenCV with a webcam for facial-recognition, the software (in Python) claims to calculate your innermost desirees, and then chooses the perfect lounge music song (played on three of my ArduTouch synthesizers, plus the open source eSpeak text-to-speech engine for lyrics) to fulfill those innermost desires. I developed this project as Artist-in-Residence with Monochrome/Q21 at MuseumsQuartier in Vienna in August/September-2021, and presented at Roboexotica as part of Ars Electronica in September-2021.

Python-OpenCV-Django Face Recognition Attendance System Project For Marking Attendance Automatically On Facial Recognition Generally Used In College And Offices.

Musition: Real-time emotion-driven music recommendations system using AI and deep learning. Automated facial and hand gesture data collection and emotion recognition training, reducing manual work by 50%. Tech stack: Streamlit-WebRTC, OpenCV/MediaPipe, TensorFlow/Keras, NumPy, Python, JavaScript.

Eyeblink detection and facial recognition using python and opencv

Emotion Recognition using Facial Landmarks, Python, DLib and OpenCV

Image Convolution with video implementation and facial recognition filters using Python and OpenCV

This is the Facial Expression Recognition Model built with TensorFlow , Keras , OpenCV in Python 3. The IDE used was Juypter Notebook hence the codes will be in the ipnb (i python note book) format . Uses Anaconda with Tensorflow enviorment as the backend. Used 8 layered Convolutional Neural Network (CNN)

Face Recognizer is a Python-based facial recognition system developed using OpenCV. This project aims to provide an efficient and easy-to-use tool for facial detection and recognition in real-time.

This is a facial expression recognition app built using Tensorflow & OpenCV (Python 🐍). The flask app is trained and can detect expressions like happy, sad, fear, angry, etc.

This repository contains code for facial recognition using openCV and python with a tkinter gui interface. If you want to test the code then run train.py file

Attendify is a web-based AI attendance system that uses facial recognition to automate tracking. Teachers upload classroom photos, and the system detects and matches student faces with the database to mark attendance. Built with Python, OpenCV, React.js, and MySQL/MongoDB, it saves time, reduces errors, and improves efficiency.

Real-time multi-face emotion detection using YOLOv8 and OpenCV. Detects facial expressions like happy, sad, angry, and more with color-coded bounding boxes and live webcam support. Built with Python, Ultralytics YOLO, and face_recognition.

Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

This repository contains an implementation of facial recognition login system. It uses OpenCV and ReactJS for face recognition and frontend simultaneously. Python flask is used as a backend server for handling requests which will work as an API.

This is my first Python project, which works on the simple principle of Facial Recognition using the openCV and Numpy libraries of python. It is built on the basis of machine learning.

Facial Expression Recognition using Python 3.5+ , Keras, and OpenCV

Facial Recognition Attendance System using Python, OpenCV, face_recognition, and Firebase. It registers students, encodes their facial features, and marks attendance in real-time.

This project demonstrates a basic facial recognition system implemented in Python using OpenCV and face_recognition. It includes face detection from live webcam feed, face encoding, and matching against known faces. Ideal for educational purposes or as a starting point for more advanced biometric systems

Hello Everyone!! I have created a new project Face Detection using Python Opencv library.With this project, developers can integrate face detection capabilities into their applications, allowing for various applications such as facial recognition, emotion analysis, or face tracking.

The **Attendance Monitoring System** uses deep learning-based facial recognition with Python, OpenCV for camera access, and . A Tkinter GUI allows easy management of records stored in a MySQL database, offering a contactless, error-free solution.