Fr. 103.00

Mechatronics Experiments with Machine Vision

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book is an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of quests practical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing.

Sommario

Simulating a Dynamic System.- A balancing problem.- Design and build.- Sensors for consumer devices.- Detection of Errors and Faults in Data.- Basics of Machine Vision.- Precision motor control.- A video control loop.- 2D Control with Vision.- Turning Heads.- Exploring Bluetooth.- Using s-psi for recognition.- AI, Love and Hate.

Info autore










John Billingsley has recently retired from a Chair of Mechatronic Engineering at the University of Southern Queensland in Toowoomba. He has also supervised Technology Research in a Centre for Engineering in Agriculture. Throughout his career, he has made significant contributions to the development of mechatronic systems, starting long ago with the control design of a commercial autopilot. Industrial consultancies include pioneering work in laser phototypesetting, acoustic telescopes, and wall-climbing robots. He is the international chairman of the annual "Mechatronics and Machine Vision in Practice" conference series and has been recognized for his achievements with an achievement medal from the Institution of Engineering and Technology, London, and an Erskine Fellowship from the University of Canterbury, NZ. His innovative machines have been exhibited in notable institutions such as the Palais de la Découverte in Paris, the Exploratorium in San Francisco, and the Powerhouse Museum in Sydney."

Riassunto

This book is an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of quests—practical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing.

Dettagli sul prodotto

Autori John Billingsley
Editore Springer, Berlin
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 28.03.2026
 
EAN 9783032112170
ISBN 978-3-0-3211217-0
Pagine 183
Dimensioni 155 mm x 14 mm x 235 mm
Peso 414 g
Illustrazioni XV, 183 p. 129 illus., 25 illus. in color.
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Meccanica, tecnica di produzione

Maschinenbau, Simulation, JavaScript, Künstliche Intelligenz, Computational Intelligence, Mechatronics, Ergonomics, Machine Vision

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