There are 0 repository under haarcascade-classifier topic.
This is face-recognition base web registration and Login system.
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.
Face Detection & Recognition System made in JAVA using JavaCV
A tool to detect the driver face recognition and alert the driver with voice commands
This repository is web application that aims to provide various features such as video live stream, haarcascade classifier, and optical character recognition (OCR). This app is built using Python, OpenCV, Django, TailwindCSS (django-tailwind), EasyOCR
6 different web based augmented reality app using webXR api and object detection libraries.
A basic desktop application (GUI) for face recognition using OpenCV and Tkinter.
This project is about trasking the user eye movement and finding the particular Area of Interest from the whole screen. Its application starts from using it give more personalised advertisements based on which region our eye is looking upon, It can be used to detect our concentration level by monitoring our eye movement etc
Face and smile detection 👀 using Python, OpenCV and haar-cascades. ⚡
A detector which detects cars and pedestrians on the road
This project is a real-time emotion detection application that uses a pre-trained deep learning model to recognize emotions through facial expressions captured on live video.
This experiments shows how AR can be used in a regular ecommerce website. The app detects your face and eyes, and helps you to visualize with different sunglasses.
Real time face detection
An example and COMPLETE instruction about preparing data and training Haar Cascade with a help of built-in OpenCV utilities (i. e. opencv_createsamples, opencv_traincascade). Also some management scripts were developed in Python
Hello everyone. In this Covid crisis , we came with an idea , if technologies can help mankind to mitigate covid crisis . This model basically recognizes the person without mask and alerts us with the help of haarcascade classifier . Still we had other options like crowd monitoring , thermal scrrening . If you want us to also upload the same , you can let us know in issue section . Thank u
Attendance system using facial recognition system. Utilizes haarcascade classifiers for face detection and recognition. Stores attendance in Excel files and generates training images for face detection.
Face detector app built using python and haarcascade classifier
Here I have done a Machine learning project of python using different different library.
This script tracks the upper body of the closest person and tries to keep it in the center of the frame of the camera.
This repository contains trained haar cascade classifier for iris detection.
Falling asleep during online classes? We got your back!
Car and pedestrian tracker. Simple example using OpenCV
The project involves using Python and the Haar Cascade dataset to build a system for detecting cars and pedestrians. Python is utilized for programming, while the Haar Cascade dataset provides pre-trained models for object detection. The system employs image processing techniques to identify cars and pedestrians in images or videos.
Explored Classical and DL based approaches - Employed the Viola-Jones facial classifier for face detection and tracking, adjusting hyperparameters to optimize the quality of detections and tracks. Utilized YOLOv8 models for duck detection, running experiments to analyze the impact of model size, augmentations, dataset size and weight initialisation
Our facial attendance system automates attendance tracking using facial recognition technology. Built with Flask, Bootstrap 5, and OpenCV, it offers seamless integration with web interfaces and webcam-based data collection. Simplify attendance management with dataset gathering, model training, and real-time recognition.
Emotion Based Personalized Media Recommendation System
Face Detection & Recognition System
Cat Face Detection using Opencv-Python
Eye-controlled computer interface using haarcascade_eye.xml eye detector model, openCV and pyautogui
Track user eye in front of webcam using pre-trained Haar cascade eye detection model, openCv and ultralytics yolov5
Hands detection in front of webcam using haarcascade_hand.xml hand detector model and openCV
Face recognition workshop code using OpenCV