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Welcome to the Eye Blink Detection repository! This project utilizes OpenCV and MediaPipe to detect eye blinks in real-time using a webcam. It calculates the Eye Aspect Ratio (EAR) to determine whether the eyes are open or closed, and displays the last blink time on the screen.
The Humanoid Robot Pose Mimicry project merges computer vision and robotics. It uses the Mediapipe library to capture human upper body poses from images and transmits them to a NAO humanoid robot. This interactive project explores seamless human-robot interaction through the replication of detected poses.
This repository contains the content for a proof of concept implementation of computer vision systems in industry. The project explores scalability and performance using the NVIDIA ecosystem, aiming to create an example scaffold for implementing a system accessible to non-technical users.
OpenCV kütüphanesi kullanılarak gerçek zamanlı yüz tespiti ve sayma yetenekleri sunar. Uygulama, farklı kademelerde performansa sahip yüz tespit sınıflayıcılarını değerlendirir ve en iyi performansı gösterenini seçerek kullanır.
Real-time hand detection project using MediaPipe and OpenCV in Python, providing accurate tracking and visualization of hand landmarks for interactive applications.
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained based on yolov10 with that custom dataset to indicate fractures in x-rays.
An application that allows you to take selfies with real-time face recognition and optional date timestamps. Capture the moment, add intelligence, and snap away!