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Company Information:

Company Name: I-MATH ASSOC., INC.
City: Orlando
State: FL
Zip+4: 32856
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Website URL: N/A
Phone: N/A

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $518,349.00 8
SBIR Phase II $2,679,543.00 6

Award List:

PARALLEL PROCESSING APPLICATIONS FOR AVIONICS

Award Year / Program / Phase: 1988 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Alexander Akerman Iii
Award Amount: $49,945.00

MEASUREMENT OF THE ULTRAVIOLET SIGNATURE OF AN OBJECT

Award Year / Program / Phase: 1989 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Alexander Akerman Iii
Award Amount: $50,000.00
Abstract:
The vulnerability of a low observable aircraft to an ultraviolet (uv) seeking missile can be determined by an end-to-end digital simulation which concatenates existing i-math computer programs. the "visual and laser ultraviolet to electro optical (valve)" code produces high fidelity 3d shape and… More

DUAL BAND INFRARED DISCRIMINATION TECHNIQUES

Award Year / Program / Phase: 1989 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Timothy J Theis
Award Amount: $50,000.00

PARALLEL PROCESSING APPLICATIONS FOR AVIONICS

Award Year / Program / Phase: 1990 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Alexander Akerman Iii
Award Amount: $409,966.00
Abstract:
A single form of a "massively parallel" computer architecture is being sought to host the complete suite of a vision model-based object recognition algorithm. two approaches will be investigated during phase i: (1) a simd architecture represented by the amt distributed array processor dap, and (2) a… More

DUAL BAND INFRARED DISCRIMINATION TECHNIQUES

Award Year / Program / Phase: 1990 / SBIR / Phase II
Agency / Branch: DOD / NAVY
Principal Investigator: Timothy J Theis
Award Amount: $302,800.00
Abstract:
I-math and our subcontractor, quest research corporation, have proposed an approach for determining the optimal sub-bands within the 3-5 and 8-12 micrometers regions which is based on a methodology known as differential irradiance. this technique is part of a patent disclosure authored by quest and… More

IMPACT OF TARGET SHADOWS ON TARGET ACQUISITION

Award Year / Program / Phase: 1991 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Alexander Akerman Iii , Principal Investigator
Award Amount: $49,940.00
Abstract:
A shadow model is proposed that will mate directly with the atmospheric science laboratory (asl) target acquisition tactical decision aid (tatda). the shadow's inherent contrast will be determined from equations using the ratio of solar to sky illumination. the shadow size will be characterized by a… More

FLIR & MMW Algorithms to Detect and Classify Stationary Targets

Award Year / Program / Phase: 1993 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Alexander Akerman Iii
Award Amount: $49,464.00

FLIR & MMW Algorithms to Detect and Classify Stationary Targets

Award Year / Program / Phase: 1995 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Alexander Akerman Iii
Award Amount: $599,915.00
Abstract:
Six multisensor (FLIR/MMW) data bases will be accessed to include all those at CNVEOD including the VISION 1 and subsequent field tests, particularly those involving the RIMS and BWI MMW radars, along with the IIDAS and SAIRS FLIRS. Data from other government agencies will include that in TABILS and… More

Artificial Intelligence Enhanced Information Processing

Award Year / Program / Phase: 1996 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Ronald Patton
Award Amount: $70,000.00
Abstract:
Performance of robotic systems would be enhanced through artificial intelligent fusion of the automatic target recognition (ATR) results (and associated underlying features ) of either a single platform or multiple platforms viewing the target/object from different position, i.e., multi-look fusion.… More

Computational Intelligence Approaches to Automatic Target Recognition

Award Year / Program / Phase: 1996 / SBIR / Phase I
Agency / Branch: DOD / DARPA
Principal Investigator: Ronald Patton
Award Amount: $99,000.00

Computational Intelligence Approaches to Automatic Target Recognition

Award Year / Program / Phase: 1997 / SBIR / Phase II
Agency / Branch: DOD / DARPA
Principal Investigator: Ronald Patton
Award Amount: $374,402.00
Abstract:
The Computationally Intelligent ATR Architecture (CIAA) for SAR imagery will be driven by both point (scatter) and region features. I-MATH has previously developed point extraction algorithms. SAIC will suggest various region measurements, again drawing upon the current results of the MSTAR… More

Computational Intelligence Approaches to Automatic Target Recognition

Award Year / Program / Phase: 1997 / SBIR / Phase I
Agency / Branch: DOD / DARPA
Principal Investigator: Ronald Patton
Award Amount: $100,000.00
Abstract:
An approach is desired that allows composite infrared background scenes to be synthetically generated using a data base of background objects and types. I-MATH has previously developed an algorithm for a related application, whereby actual scene images are decomposed with a Laplacian pyramid, and… More

Artificial Intelligence Enhanced Information Processing

Award Year / Program / Phase: 1998 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Ronald Patton
Award Amount: $493,709.00
Abstract:
Performance of robotic systems would be enhanced through artificial intelligent fusion of the automatic target recognition (ATR) results (and associated underlying features ) of either a single platform or multiple platforms viewing the target/object from different position, i.e., multi-look fusion.… More

Infrared Background Clutter Metrics

Award Year / Program / Phase: 1998 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Ronald Patton
Award Amount: $498,751.00
Abstract:
An approach is desired that allows composite infrared background scenes to be synthetically generated using a data base of background objects and types. I-MATH has previously developed an algorithm for a related application, whereby actual scene images are decomposed with a Laplacian pyramid, and… More