Advanced Technologies for Discrete-Parts Manufacturing

Award Information
Agency:
Department of Defense
Branch
Defense Logistics Agency
Amount:
$98,593.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
SP4701-10-M-A024
Award Id:
96647
Agency Tracking Number:
L093-001-0020
Solicitation Year:
n/a
Solicitation Topic Code:
DLA 09-001
Solicitation Number:
n/a
Small Business Information
555 Tanacrest Dr., Atlanta, GA, 30328
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Steve Dickerson
President
(404) 375-0181
steve.dickerson@camotion.com
Business Contact:
Steve Dickerson
President
(404) 375-0181
steve.dickerson@camotion.com
Research Institution:
n/a
Abstract
A completely automatic, cost-effective, production of garments and other sewn items can be achieved. A novel approach that depends heavily on computing, high performance servo systems, and machine vision has been demonstrated. This proposal will lead to a the most critical element of such automation, a completely automatic sewing machine that will sew arbitrary but controlled paths in the two pieces of fabric being sewn together. Relatively modest extensions would lead to a work-cell consisting of several of these units, nearly contiguous, to make a simple garment such as a pair of jeans or a shirt completely automatically including the cutting of fabric. It is the flexibility of fabric that makes traditional sewing so difficult to automate. In the past, researchers have attempted to automate sewing based upon replicating human functions and building machines that sew based on Euclidean units of measure. A human cannot count threads as they sew, but today a robotic machine can be based on the very advanced state of sensors, particularly machine vision, and computation, to use a non-Euclidean measure, namely thread count. It is this innovative concept that will be exploited to automate the traditional sewing process.

* information listed above is at the time of submission.

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