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MicroLens Hyperspectral Imager for Standoff Chemical Detection

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911-SR-19-C-0024
Agency Tracking Number: C2-0500
Amount: $545,045.52
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD171-002
Solicitation Number: 17.1
Timeline
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-28
Award End Date (Contract End Date): 2021-09-02
Small Business Information
11555 Rancho Bernardo Road
San Diego, CA 92127
United States
DUNS: 064390719
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Unavailable
Principal Investigator
 Mark Dombrowski
 Principal Investigator
 (858) 675-7404
 markd@surfaceoptics.com
Business Contact
 Jonathan D. Dummer
Phone: (858) 675-7404
Email: jdummer@surfaceoptics.com
Research Institution
N/A
Abstract

A program to develop a compact, MLA-based, LWIR, full-motion-video hyperspectral imager for chemical detection is proposed. The proposed Hyperspectral Chemical Imaging Sensor (HyCIS) builds upon Surface Optics’ real-time hyperspectral imaging activities, including our 3D full-motion-video spectral imaging (FMV-SI) technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 or more spectral bands from 8 um to 12 um over a full two-dimensional field, the system is ideal for identifying and tracking chemicals of interest to modern warfare. Under the Phase II effort, the preliminary design developed under Phase I will be finalized, detailed and manufactured, producing a compact infrared full-motion video spectral imager appropriate for battery-operated handheld, fixed-site, vehicle-mounted, and small UAS applications; the system will include a compact, rugged, real-time spectral imager plus the real-time hyperspectral (HS) data processor. The proposed effort represents an extension of Surface Optics’ 27 years’ experience in hyperspectral imager design, and miniaturization of SOC’s patented real-time hyperspectral image processor for real-time hyperspectral discrimination. By building on Surface Optics Corporation’s experience in hyperspectral imaging system development, sensor development, and algorithm development, the proposed Phase II effort will produce a new MLA-based full-motion-video LWIR hyperspectral chemical imaging sensor of unsurpassed capability.

* Information listed above is at the time of submission. *

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