SBIR-STTR Award

Real-time Spectral Band Optimization for Unmanned Aerial Systems (UAS) Hyperspectral Camera
Award last edited on: 11/6/2018

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$899,108
Award Phase
2
Solicitation Topic Code
N08-155
Principal Investigator
Mitchell Wlodawski

Company Information

DSPCon Inc

380 Foothill Road Suite 101
Bridgewater, NJ 08807
   (908) 722-5656
   info@dspcon.com
   www.dspcon.com
Location: Single
Congr. District: 07
County: Somerset

Phase I

Contract Number: N68335-08-C-0558
Start Date: 9/29/2008    Completed: 1/22/2010
Phase I year
2008
Phase I Amount
$149,220
This effort develops a design for an integrated near real-time solution capable of determining optimal multi-spectral bands for target detection, storing complete mission data, and parsing resultant data and metadata for transmission of hyperspectral imaging results. This design, referred to as the “Optimized Hyperspectral Camera System” (OHCS), will leverage DSPCon’s new BFX architecture minimizing Size, Weight, and Power (SWAP), with Sarnoff’s world-class, innovative spectral analysis algorithms that can distinguish targets from clutter, even with minimal a priori target information and no a priori clutter information. OHCS will provide an unprecedented combination of performance and minimal SWAP to accommodate demanding Unmanned Aerial System (UAS) constraints. The design resulting from this SBIR will have a combination of performance + "Size, Weight, and Power" (SWAP) which is unachievable using any other standard available in the world today. DSPCon will create the OHCS hardware design with a company-developed architecture standard, called BFX, that is geared toward rapidly implementing systems involving any combination of data acquisition, processing and archiving functions in small form factor, light weight packages. The standard is based on high performance, modular (plug and play), small footprint, rugged, air-cooled or conduction-cooled, function-specific boards that communicate over a high speed serial I/O fabric. This approach enables the design to meet the needs of environments where minimizing SWAP is critical, as is allowing easy upgrades and expansion of system capacity with a plug-and-play structure.

Keywords:
Optimized Hyperspectral Camera System (Ohcs), Minimal Size Weisght And Power (Swap),Innovative Sarnoff Spectral Analysis Algorithms.

Phase II

Contract Number: N68335-10-C-0074
Start Date: 11/19/2009    Completed: 11/19/2011
Phase II year
2010
Phase II Amount
$749,888
This Phase II effort develops a prototype for an integrated near real-time solution capable of determining optimal multi-spectral bands for target detection, storing complete mission data, and parsing resultant data and metadata for transmission of hyperspectral imaging results. This design, referred to as the “Optimized Hyperspectral Camera System” (OHCS), leverages DSPCon’s approach to designing electronic boards and system architectures that meet strict Size, Weight, and Power (SWaP) consumption requirements, along with Sarnoff Labs world-class, innovative spectral analysis algorithms that can distinguish targets from clutter, even with minimal a priori target information and no a priori clutter information. The OHCS prototype will be demonstrated on a small, tactical Unmanned Aerial Vehicle (UAV), the Silver Fox. The OHCS will provide an unprecedented combination of performance and minimal SWaP to accommodate a demanding on-board application on a UAV platform. The DSPCon design approach is based on high performance, modular (plug and play), small footprint, rugged, air-cooled or conduction-cooled, function-specific boards that communicate over a high speed serial I/O fabric. This approach enables the design to meet the needs of environments where minimizing SWaP is critical, as is allowing easy upgrades and expansion of system capacity with a plug-and-play structure.

Keywords:
Spectroscopy, Spectroscopy, Hyperspectral Imaging, Minimal Size Weight And Power (Swap), Hyperspectral Sensor, Optimized Hyperspectral Camera System (