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FASTVDO LLC
UEI: K48CQNUZLF83
# of Employees: 2
HUBZone Owned: No
Socially and Economically Disadvantaged: Yes
Woman Owned: No
Award Charts
Award Listing
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Sub-Pixel Super-Resolution ATR
Amount: $99,956.00It has long been known that (aided) target recognition based on imaging sensors is fundamentally limited by the number of pixels on the target imaged. Very roughly, at least 10 pixels are needed for ...
SBIRPhase I2004Department of Defense Navy -
Digital Television Exploitation
Amount: $729,773.00Transmitting voluminous video signals over channels orders of magnitude lower in data rate thus requires the latest advances in compression technology as a fundamental enabler. This is especially true ...
SBIRPhase II2003Department of Defense Army -
Video Data Compression
Amount: $69,975.00Transmitting voluminous image/video signals over channels orders of magnitude lower in data rate thus requires the latest advances in compression technology as a fundamental enabler. This is especiall ...
SBIRPhase I2003Department of Defense Navy -
Helmet-Mounted Sensor-Fusion ATR
Amount: $94,969.00Situation awareness at the dismounted small-unit level requires innovation and agility in sensors and signal processing. Information fusion from a field of region-based sensors is an important but cha ...
SBIRPhase I2003Department of Defense Army -
Helmet-Mounted Sensor-Fusion ATR
Amount: $751,804.00FastVDO LLC will research and develop advanced mathematical algorithms for electro-optical and infrared sensor-fusion based target recognition. We will further investigate the value of ...
SBIRPhase II2003Department of Defense Army -
Digital Television Exploitation
Amount: $119,773.00"By 2006, all television programs in the US will be broadcasted in the new Digital Television (DTV) standard format. Digital video signals of typical sizes (SDTV 480p/i: 704x480, progressive/interlace ...
SBIRPhase I2002Department of Defense Army -
Characterize and Optimize ATR Performance for EO/IR Sensors
Amount: $69,903.00"This project will research and develop novel approaches to capture the edge information on targets in EO/IR imagery, using new decompositions. We will also develop innovative function-theoretic meas ...
SBIRPhase I2002Department of Defense Navy