SBIR-STTR Award

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A Real Time Image Understanding Architecture. Previously called Called Architecture for a Reconfigurable Computer Vision System
Award last edited on: 5/13/2021

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$239,442
Award Phase
2
Solicitation Topic Code
-----
Principal Investigator
Robert C Fitch

Company Information

V Systems Technology (AKA: Robert C Fitch Consulting)

2887 North Pascal
Roseville, MN 55113
   (612) 631-8592
   N/A
   N/A
Location: Single
Congr. District: 04
County: Ramsey

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
1984
Phase I Amount
$40,000
The architectural feasibility of a generic computer vision system composed of heterogeneous processors is examined. The study focusses on issues such as the nature of the heterogeneous processors functional capabilities, network realization tradeoffs, and common module interfaces. The generic computer vision system is designed to meet the demands imposed by future industrial vision applications, including gray scale processing, real-time operation and low cost. Our research takes advantage of recent advances in high speed image and signal processing architectures, and on-going research in processor networking strategies. The program objectives are 1) the identification of common processing modules for future computer vision system applications, and 2) the identification of feasible inter-module networking to permit computer vision system reconfiguration for diverse industrial applications. The research will have vast implications in the transfer of computer vision technology to a broad range of applications.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
1987
Phase II Amount
$199,442
The architectural feasibility of a generic computer vision system composed of heterogeneous processors is examined. The study focusses on issues such as the nature of the heterogeneous processors functional capabilities, network realization tradeoffs, and common module interfaces. The generic computer vision system is designed to meet the demands imposed by future industrial vision applications, including gray scale processing, real-time operation and low cost. Our research takes advantage of recent advances in high speed image and signal processing architectures, and on-going research in processor networking strategies. The program objectives are 1) the identification of common processing modules for future computer vision system applications, and 2) the identification of feasible inter-module networking to permit computer vision system reconfiguration for diverse industrial applications. The research will have vast implications in the transfer of computer vision technology to a broad range of applications.