Focal-Plane Sensor-Processor Chips

Herausgegeben:Zarándy, Ákos

• Broschiertes Buch

Produktbeschreibung

Focal-plane sensor-processor imager devices are sensor arrays and processor arrays embedded in each other on the same silicon chip. This close coupling enables ultra-fast processing even on tiny, low power devices, because the slow and energetically expensive transfer of the large amount of sensory data is eliminated. This technology also makes it possible to produce locally adaptive sensor arrays, which can (similarly to the human retina) adapt to the large dynamics of the illumination in a single sceneThis book focuses on the implementation and application of state-of-the-art vision chips. It provides an overview of focal plane chip technology, smart imagers and cellular wave computers, along with numerous examples of current vision chips, 3D sensor-processor arrays and their applications. Coverage includes not only the technology behind the devices, but also their near- and mid-term research trends.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4899-9468-4
• 2011
• Seitenzahl: 320
• Erscheinungstermin: 21. September 2014
• Englisch
• Abmessung: 235mm x 155mm x 18mm
• Gewicht: 492g
• ISBN-13: 9781489994684
• ISBN-10: 1489994688
• Artikelnr.: 41563187

Inhaltsangabe

Overview of focal plane chip technology.- smart imagers; cellular wave computers.- State-of-the-art focal-plane sensor-processor chips.- Ultra-high binary morphology processor applying asynchronous digital waves.- Introduction of the MIPA 4 chip.- Robust Focal-Plane Analog Processing Hardware for Dynamic Texture Segmentation.- A Focal Plane Processor for Continuous-Time 1-D Optical Correlation Applications.- A pixel-parallel cellular processor array in a stacked three-layer 3D silicon-on-insulator technology.- VISCUBE: a multi-layer vision chip.- THz detector sensor-processor array.- Nonlinear processing with Memristive arrays.- Bionic Eye-glass for guiding blind people.- Bio-inspired approaching object identification algorithms.- Cellular Neural Network (CNN) Based Control Algorithms for Omni directional Laser Welding Processes.