Facial Emotion Recognition using OpenCV and Deepface
-
Updated
Jul 22, 2024 - Python
Facial Emotion Recognition using OpenCV and Deepface
"Implementing theft detection using Python, OpenCV, and MySQL. This project employs real-time face recognition to identify thieves captured on a webcam.
The Sign Language Recognition System is a project aimed at facilitating communication for individuals with hearing impairments. It utilizes machine learning and computer vision techniques to interpret and recognize sign language gestures in real-time.
An advanced system integrating RFID, facial recognition, and AI-based activity detection to enhance campus safety
Handwriting recognition using EasyOCR
Open-CV for Beginners
This is my first repository and it is based on object detection and object tracking of vehicles. It will first detect and count the vehicles.
Machine Learning Model and API for Rully Project - Universal Bubble Sheet Grader
Face Recognition Attendance System is a GUI program that offers you to take attendance of an individual using python's open-cv Lib.
This project implements a Siamese Neural Network for efficient image triplet analysis, seamlessly integrating OpenCV for image collection. Three categories of images - positive, negative, and anchor - are collected using OpenCV and preprocessed to standardize dimensions to 100x100 pixels in JPEG format.
This counts people and objects in real-time from footages and livestream and work upon the data.
These are examples of computer vision work using Visual Studio, OpenCV and VC++. It includes a fully functional game of Pong controlled by coloured objects detected by a camera.
Remove the haze from the image using dark channel prior and guided filter
Implementation of deep learning method (EfficientDet) and conventional computer vision method for detecting moving objects on a trainer conveyor
This Python project utilizes MediaPipe to recognize hand landmarks in images, videos, and webcam streams. It detects and locates 21 key points on the hand, offering a simple and efficient solution for various applications requiring hand gesture analysis.
This is a Streamlit web app leveraging EasyOCR to extract text from uploaded images, presenting it with confidence scores and visual annotations, simplifying Optical Character Recognition tasks.
Add a description, image, and links to the open-cv topic page so that developers can more easily learn about it.
To associate your repository with the open-cv topic, visit your repo's landing page and select "manage topics."