Embedded Computer Vision (48 results)

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware - Have you ever wondered what's actually happening inside a drone the moment it decides, on its own, to swerve around a branch you never even saw coming That's the question this book sets out to answer - not with vague buzzwords, but with the real engineering behind it.The Architecture of Intelligent Drones is a complete, ground-up guide to how autonomous aerial systems are actually designed, built, and flown. Whether you're an engineering student, a hobbyist ready to move past basic remote control, a robotics professional, or someone building a career or a company in this space, this book walks you through every layer of what makes a drone genuinely 'smart' rather than just remote-controlled.So what's actually inside You'll start with the fundamentals - how unmanned flight evolved from simple radio control into true autonomy, and how airframes, propulsion systems, and materials are chosen for a given mission. From there, you'll move into the embedded computing that powers real-time flight control, the sensor systems that let an aircraft understand its own position and surroundings, and the computer vision techniques that let it actually see and interpret the world around it.Curious how a drone avoids a collision in a fraction of a second Or how a swarm of aircraft coordinates a search without a single human directing every move Those chapters are here too - covering artificial intelligence and decision-making, classical and modern flight control theory, navigation and path planning, and the communication systems that keep aircraft connected across long distances and degraded environments.This book doesn't stop at theory. You'll find dedicated chapters on mission planning, simulation and digital twin development, power systems and energy management, safety engineering, regulatory compliance, and manufacturing and quality assurance - the practical, often-overlooked disciplines that separate a working prototype from a genuinely deployable system.And because this technology doesn't exist in a vacuum, later chapters explore real industry applications - agriculture, infrastructure inspection, delivery logistics, and disaster response - along with a forward-looking discussion of emerging research and what a career or business in this field can actually look like.Written in clear, practical language and organized for both sequential reading and quick reference, this book is built for anyone who wants to genuinely understand - not just use - the technology reshaping how machines move through the sky.If you've ever asked yourself how these systems really work, this is where you find out.…

Taschenbuch. Condition: Neu. Neuware - Build AI That Thinks at the Edge-Not in the Cloud. What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up. Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity. Inside this comprehensive guide, you'll learn how to: - Master ESP32 architecture, hardware, and development boards- Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO- Build TinyML applications with TensorFlow Lite Micro and Edge Impulse- Collect, clean, and prepare sensor data for machine learning- Train, optimize, quantize, and deploy lightweight AI models- Build computer vision systems with ESP32-CAM- Create voice recognition, keyword spotting, and audio intelligence applications- Develop gesture recognition and motion detection systems using IMU sensors- Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration- Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects- Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life- Secure Edge AI devices with modern embedded security practices- Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems- Build complete production-ready Edge AI applications with confidence>Whether your goal is to become an Embedded AI engineer, IoT developer, robotics enthusiast, electronics maker, researcher, engineering student, or professional developer, this book provides the roadmap to mastering one of today's fastest-growing technology fields. The future of AI isn't only in massive data centers-it's running on tiny devices at the edge.Start building the next generation of intelligent embedded systems today.…

Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condition: New. Print on Demand.

Condition: New. In English.

Condition: New. In English.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories - the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.…

Condition: New. pp. 312.

Condition: New.

Condition: New. pp. 312.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Embedded Computer Vision | Branislav Kisacanin (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xxviii | Englisch | 2010 | Springer | EAN 9781849967761 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Advances in Embedded Computer Vision | Branislav Kisa¿anin (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xvi | Englisch | 2016 | Springer | EAN 9783319357881 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Hardcover. Condition: Brand New. 2014 edition. 287 pages. 9.25x6.25x1.00 inches. In Stock.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. pp. 287.

Condition: New. Print on Demand.

Condition: new. Questo è un articolo print on demand.

Condition: new. Questo è un articolo print on demand.

Condition: new. Questo è un articolo print on demand.

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked. 312 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories - the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges. 304 pp. Englisch.…

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked. 312 pp. Englisch.…