Computer Vision for Robotics: Enable robots to see, detect, and respond using OpenCV - Tapa blanda

Computer Vision for Robotics (Paperback)

Paperback. Condición: new. Paperback. A Robot Without Vision is Just a Machine. A Robot With Vision is an Entity.Sensors can measure distance. But only Computer Vision can understand the world.You have built the chassis. You have wired the motors. But your robot is still flying blind, relying on simple bumpers or ultrasonic pings to avoid crashing. Computer Vision for Robotics is the upgrade key. This book is the definitive guide to implementing the industry-standard OpenCV library to give your mechanical creations the gift of sight.This is not just a book about image processing theory. It is a practical engineering manual for building Perception Systems. You will learn to write Python code that takes raw camera feeds and transforms them into actionable commands, allowing your robot to recognize objects, track targets, and navigate complex environments autonomously.From Pixels to ActionDesigned for developers and robotics enthusiasts, this guide covers the entire pipeline of visual intelligence.Master OpenCV: Gain deep proficiency in the world's most powerful open-source computer vision library.Object Detection & Tracking: Build algorithms that can identify specific objects (like a ball, a face, or a sign) and control motors to follow them in real-time.Visual Navigation: Move beyond GPS. Learn to use visual cues to help your robot understand its position and orientation in a room.Gesture Control: Create natural interfaces where your robot responds to hand signals or body language.Performance Optimization: Techniques to run heavy vision processing algorithms on constrained hardware like the Raspberry Pi or NVIDIA Jetson.Whether you are building a sorting arm, a security rover, or a companion bot, this book provides the code to make it intelligent.Stop building blind machines. Give them eyes. Scroll up and grab your copy to unlock the power of robot vision. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798247192749

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