Facial Recognization Attendence and Student Management System

Flask Integrated Classifier Model for Closed or Open Eye Detection

Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates

A photoshop web app deployed in streamlit having various filters and image processing capabilities built using Python and OpenCV modules.

The Facial Recognition and Detection Application provides both image and live camera facial recognition and detection. In image mode, it identifies faces, eyes, and smiles within loaded images. In live camera mode, it continuously captures real-time video and performs facial recognition, eye detection, and smile detection,

Face Mask Detection Using Open CV

The code uses Python and OpenCV and OpenCV Frontal Face Haarcascade to detect faces in images as well as live video footage.

This folder contains the code for the Face recognition model that I implemented without using the facerecognition library. Harcascade classifier was used. Project is at basic level and was aimed for learning.

Attendance management System - open cv

The objective is to detect Moving Cars in a video file using OpenCV using the HaarCascade_car.xml file and then, you will use OpenCV to detect the License plates of a Car using the HaarCascade_russian_plate_numberXMLfile

This project leverages the power of computer vision and advanced image processing techniques to accurately detect and measure the speed of vehicles in real-time. The combination of Python programming language, OpenCV for computer vision tasks, and Dlib's Haar Cascade method ensures robust and efficient speed detection.

A face recognition-based attendance system that automates attendance marking by capturing and matching facial images with a registered user database.

Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Tensorflow. and also as an other solution, I used DeepFace package for emotion recognition as a prefabricated solution.