Paper
3 June 2015 Portable, stand-off spectral imaging camera for detection of effluents and residues
Neil Goldstein, Benjamin St. Peter, Jonathan Grot, Michael Kogan, Marsha Fox, Pajo Vujkovic-Cvijin, Ryan Penny, Jason Cline
Author Affiliations +
Abstract
A new, compact and portable spectral imaging camera, employing a MEMs-based encoded imaging approach, has been built and demonstrated for detection of hazardous contaminants including gaseous effluents and solid-liquid residues on surfaces. The camera is called the Thermal infrared Reconfigurable Analysis Camera for Effluents and Residues (TRACER). TRACER operates in the long wave infrared and has the potential to detect a wide variety of materials with characteristic spectral signatures in that region. The 30 lb. camera is tripod mounted and battery powered. A touch screen control panel provides a simple user interface for most operations. The MEMS spatial light modulator is a Texas Instruments Digital Microarray Array with custom electronics and firmware control. Simultaneous 1D-spatial and 1Dspectral dimensions are collected, with the second spatial dimension obtained by scanning the internal spectrometer slit. The sensor can be configured to collect data in several modes including full hyperspectral imagery using Hadamard multiplexing, panchromatic thermal imagery, and chemical-specific contrast imagery, switched with simple user commands. Matched filters and other analog filters can be generated internally on-the-fly and applied in hardware, substantially reducing detection time and improving SNR over HSI software processing, while reducing storage requirements. Results of preliminary instrument evaluation and measurements of flame exhaust are presented.
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Neil Goldstein, Benjamin St. Peter, Jonathan Grot, Michael Kogan, Marsha Fox, Pajo Vujkovic-Cvijin, Ryan Penny, and Jason Cline "Portable, stand-off spectral imaging camera for detection of effluents and residues", Proc. SPIE 9482, Next-Generation Spectroscopic Technologies VIII, 94820X (3 June 2015); https://doi.org/10.1117/12.2179045
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KEYWORDS
Sensors

Optical filters

Thermography

Image filtering

Quartz

Signal detection

Black bodies

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