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Showing posts with the label Real-Time Object Detection

Real-Time Camera Input for Image Recognition

Real-Time Camera Input for Image Recognition Imagine pointing your webcam at an object and instantly getting a prediction of what it is—just like Google Lens! In this guide, we’ll connect your browser's camera to a backend AI model built using TensorFlow or PyTorch, all in real-time. 🔧 Tech Stack HTML5 + JavaScript – to access webcam and capture frames Flask (Python) – to serve the model and process images TensorFlow or PyTorch – for the image classification model 🎬 Step 1: HTML + JS for Webcam Input Use the getUserMedia() API to stream webcam video, and capture frames as images. <video id="video" width="480" height="360" autoplay></video> <canvas id="canvas" width="480" height="360" style="display:none;"></canvas> <br> <button onclick="captureImage()">📷 Capture & Analyze</button> <p id=...