Learn to build a computer vision solution that estimates object speed with less than 5% error using only a camera feed in this 18-minute tutorial. Discover how to implement real-time speed detection using Python and OpenCV, creating a system perfect for smart cities, surveillance, and industrial applications. Master the techniques for accurate speed calculation from video input, exploring the mathematical concepts and programming implementation needed to achieve high precision measurements. Gain practical skills in computer vision that can be applied to traffic monitoring, security systems, and automated quality control processes.