Motion Detection with Computer Vision

James Steinberg's guide, published on September 24, 2024, explains how to use computer vision to detect only moving objects in videos by leveraging object detection models on various video sources. The core concept involves using a function called captureMotion, which compares consecutive frames to identify differences and creates a bounding box around the detected motion, filtering out static objects. This method is useful for applications like security or pet cameras, where only moving objects need to be monitored. The guide details the process of setting up the system, including initializing global variables and configuring parameters like pixelDiffThreshold and scoreThreshold, to refine the detection sensitivity. Steinberg encourages experimenting with different models and adjusting settings to better understand the motion detection process, offering a GitHub repository with instructions for deploying the solution on platforms like Vercel, Heroku, and Replit.