Category : | Sub Category : Posted on 2023-10-30 21:24:53
Introduction: In recent years, computer vision has rapidly advanced to become an integral part of our everyday lives. From facial recognition to self-driving cars, this groundbreaking technology is shaping the future. But did you know that you can explore the world of computer vision through exciting DIY experiments? In this blog post, we'll dive into the world of DIY computer vision experiments that anyone can try, regardless of their technical expertise. Experiment 1: Object Detection with OpenCV: OpenCV (Open Source Computer Vision) is a popular open-source library that provides a wide range of algorithms for computer vision applications. In this experiment, we'll explore how to perform object detection using OpenCV. Materials needed: - A computer with Python installed - A webcam or USB camera Step 1: Install OpenCV First, we need to install OpenCV. Open your command prompt and run the following command: `pip install opencv-python`. Step 2: Capture Webcam Feed Using Python, let's create a simple program that captures the webcam feed and displays it on the screen. Step 3: Object Detection Now comes the exciting part - object detection! Utilizing OpenCV's built-in object detection algorithms, we can identify and classify objects in real-time. This experiment could involve detecting faces, pedestrians, or even specific objects like bananas or coffee mugs. Experiment 2: Augmented Reality with AR.js: Augmented reality (AR) is another fascinating field that relies on computer vision technology to overlay digital content onto our physical environment. Thanks to AR.js, developing augmented reality experiences has become more accessible than ever before. Materials needed: - A smartphone or tablet with a web browser Step 1: Set Up a Basic Web Page Create an HTML file with a basic web page structure. Make sure to include the AR.js library by adding the `