Smart Camera Design

This book describes the algorithms and computer architectures used to create and analyze photographs in modern digital cameras. It also puts the capabilities of digital cameras into context for applications in art, entertainment, and video analysis. The author discusses the entire range of topics relevant to digital camera design, including image processing, computer vision, image sensors, system-on-chip, and optics, while clearly describing the interactions between design decisions at these different levels of abstraction. Readers will benefit from this comprehensive view of digital camera design, describing the range of algorithms used to compose, enhance, and analyze images, as well as the characteristics of optics, image sensors, and computing platforms that determine the physical limits of image capture and computing. The content is designed to be used by algorithm designers and does not require an extensive background in optics or electronics.

This publication addresses distributed embedded smart cameras –cameras that perform on board analysis and collaborate with other cameras. This book provides the material required to better understand the architectural design challenges of embedded smart camera systems, the hardware/software ecosystem, the design approach for and applications of distributed smart cameras together with the state-of-the-art algorithms. The authors concentrate on the architecture, hardware/software design, realization of smart camera networks from applications to architectures, in particular in the embedded and mobile domains.

This book presents an overview of smart camera systems, considering practical applications but also reviewing fundamental aspects of the underlying technology. It introduces in a tutorial style the principles of sensing and signal processing, and also describes topics such as wireless connection to the Internet of Things (IoT) which is expected to be the biggest market for smart cameras. It is an excellent guide to the fundamental of smart camera technology, and the chapters complement each other well as the authors have worked as a team under the auspice of GFP(Global Frontier Project), the largest-scale funded research in Korea. This is the third of three books based on the Integrated Smart Sensors research project, which describe the development of innovative devices, circuits, and system-level enabling technologies. The aim of the project was to develop common platforms on which various devices and sensors can be loaded, and to create systems offering significant improvements in information processing speed, energy usage, and size. This book contains extensive reference lists, introduces the reader to the subject in a tutorial style and also reviews state-of-the-art results, which allows it to be used as a guide for starting researchers.

Achieve the Best Camera Design: Up-to-Date Information on MCMs Miniature camera modules (MCMs), such as webcams, have rapidly become ubiquitous in our day-to-day devices, from mobile phones to interactive TV systems. MCMs—or "smart" cameras—can zoom, adjust their frame rate automatically with illumination change, focus at different distances, compensate for hand shake, and transform captured images. With contributions from academics and field engineers, Smart Mini-Cameras discusses the structure, operation principles, applications, and future trends of miniature mobile cameras. It compares this technology with traditional digital still cameras and explains the specific requirements of MCM components (imposed by the size or type of application) in terms of optical design, image sensor, and functionalities. The book describes the implementation of several active functionalities, including liquid crystal auto focus (AF) and optical image stabilization (OIS). It also explores how new technologies, such as the curved detector and transforming optics, are stimulating novel trends, including a miniature panoramic lens on mobile phones. By providing you with an understanding of the components and performance tradeoffs of MCMs, this book will help you achieve the best camera design. It also answers frequently asked questions, such as the importance of the number of megapixels in a mobile phone camera and the value of AF and OIS features.

A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.

The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions. He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008. Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009 and BMVC 2009. The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware

What is Smart Camera In addition to being able to extract application-specific information from the images that are captured, a machine vision system that is referred to as a smart camera (sensor), intelligent camera (sensor), (smart) vision sensor, intelligent vision sensor, smart optical sensor, intelligent optical sensor, smart visual sensor, or intelligent visual sensor is also capable of generating event descriptions or making decisions that are utilized in an intelligent and automated system. There are many different types of machine vision systems. A smart camera is a vision system that is self-contained and operated independently. It is housed within the casing of an industrial video camera and has an image sensor integrated in. There is the possibility of integrating the vision system and the image sensor into a single piece of hardware that is referred to as an intelligent image sensor or smart image sensor together. In addition to having all of the necessary communication connections, such as Ethernet, it also has industry-proof 24V I/O lines that can be used to link to a programmable logic controller (PLC), actuators, relays, or pneumatic valves. These lines can be either static or movable.It does not necessary have to be larger than a surveillance camera or an industrial camera. In the field of machine vision, the term "capability" typically refers to a level of development that has reached the point where the capabilities are ready to be utilized on specific applications. When compared to vision systems that are based on personal computers, this design has the advantage of having a smaller volume and frequently achieving cheaper costs. However, this comes at the expense of a user interface that is relatively simpler or even absent altogether. In addition to being referred to by the more broad term "smart sensors," smart cameras are also in use. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Smart camera Chapter 2: Computer vision Chapter 3: Machine vision Chapter 4: Video camera Chapter 5: Cognex Corporation Chapter 6: Image sensor Chapter 7: Traffic enforcement camera Chapter 8: AI accelerator Chapter 9: Event camera Chapter 10: Intelligent transportation system (II) Answering the public top questions about smart camera. (III) Real world examples for the usage of smart camera in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Smart Camera.

Learn how to create successful architectural designs and improve your current design practices! Designing Software Architectures, 2nd Edition, provides a practical, step-by-step methodology for architecture design that any professional software engineer can use, with structured methods supported by reusable chunks of design knowledge and rich case studies that demonstrate how to use the methods. The Attribute-Driven Design method may not have changed since this book's first printing, but almost everything else about the industry has. In this newly updated edition, you will find new chapters on supporting business agility through API-centric design, deployability, cloud-based solutions, and technical debt in design. Humberto Cervantes and Rick Kazman illuminate best practices for how architects should design complex systems so you can make design decisions in systematic, repeatable, and cost-effective ways. This book will help you become a better, more confident designer who can create high-quality architectures with ease. The new edition includes: A clear explanation of the Attribute-Driven Design method New chapters focused on the technical environments and contexts of contemporary design Two new case studies on The Hotel Pricing System and Digital Twin Platform Coverage of current architecture topics like cloud computing, DevOps, and large-scale systems Methods to make architecture design agile and achievable Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.