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Proceedings Paper

Low-cost, high-performance and efficiency computational photometer design
Author(s): Sam B. Siewert; Jeries Shihadeh; Randall Myers; Jay Khandhar; Vitaly Ivanov
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Paper Abstract

Researchers at the University of Alaska Anchorage and University of Colorado Boulder have built a low cost high performance and efficiency drop-in-place Computational Photometer (CP) to test in field applications ranging from port security and safety monitoring to environmental compliance monitoring and surveying. The CP integrates off-the-shelf visible spectrum cameras with near to long wavelength infrared detectors and high resolution digital snapshots in a single device. The proof of concept combines three or more detectors into a single multichannel imaging system that can time correlate read-out, capture, and image process all of the channels concurrently with high performance and energy efficiency. The dual-channel continuous read-out is combined with a third high definition digital snapshot capability and has been designed using an FPGA (Field Programmable Gate Array) to capture, decimate, down-convert, re-encode, and transform images from two standard definition CCD (Charge Coupled Device) cameras at 30Hz. The continuous stereo vision can be time correlated to megapixel high definition snapshots. This proof of concept has been fabricated as a fourlayer PCB (Printed Circuit Board) suitable for use in education and research for low cost high efficiency field monitoring applications that need multispectral and three dimensional imaging capabilities. Initial testing is in progress and includes field testing in ports, potential test flights in un-manned aerial systems, and future planned missions to image harsh environments in the arctic including volcanic plumes, ice formation, and arctic marine life.

Paper Details

Date Published: 22 May 2014
PDF: 6 pages
Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210G (22 May 2014); doi: 10.1117/12.2049646
Show Author Affiliations
Sam B. Siewert, Univ. of Alaska Anchorage (United States)
Jeries Shihadeh, Univ. of Colorado at Boulder (United States)
Randall Myers, Mentor Graphics, Inc. (United States)
Jay Khandhar, Univ. of Colorado at Boulder (United States)
Vitaly Ivanov, Univ. of Alaska Anchorage (United States)


Published in SPIE Proceedings Vol. 9121:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014
Jerome J. Braun, Editor(s)

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