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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3123

Title: Design Of Embedded Net'ral Network Circuit Inside Tiigh Speed Camera
Authors: Heruseto, Brahmantyo
Triawati, Erma
Mukhlis, Yulisdin
Keywords: Neural Network
High Speed Camera
CMO
Issue Date: 22-Jan-2010
Publisher: STMIK Multi Data Palembang
Series/Report no.: PROSIDING KNSI 2010;6
Abstract: Analog VLSI on-chip leaming N6ural Networks represent a mature technology for a large number of applications involving industrial as well as consumer appliances. This is particularly the case when low power consumptiog snrall size and/or very high speed are required. This approach exploits the computational features of Neural Networks, the implementation efficiency of analog VLSI circuits and the adaptation capabilities of the on-chip learning feedback schema. High-speed video cameras are powerful tools for investigating for instance the biomechanicsa nalysiso r the movementso f rnechanicalp arts in manufactwing processesI-n the past yearg the use of CMOS sensors instead of CCDs has enabled the development of higb-speed video cameras offering digital outputs , readout flexibility, and lower manufacturing cosB. In this paper, we propose a high-speed srnart camera based on a CMOS sensor with embedded Analog Neural Network
URI: http://hdl.handle.net/123456789/3123
ISBN: 978-602-96149-0-9
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