Automated Fabric Inspection System

reportActive / Technical Report | Accession Number: ADA274522 | Open PDF

Abstract:

The Automatic Fabric Inspection System developed by Systronics Inc. for Clemson Apparel Research uses vision technology to acquire images of the fabric two thousand times per second. Each image - video line consisting of 2048 picture elements is analyzed by a signal processing module and a decision on defect presence and location is made. A product norm signal is first established by having the system acquire an image of an unflawed stripe of the product. The output of each picture element pixel is digitized to a grey scale value in the 0 - 255 range. Threshold levels for defects with grey scale values higher and lower than product norm can then be established and set. The system will then compare all subsequent images against the set thresholds.

Author(s):
Jarvis, Christine W.
Author Organization(s):
CLEMSON APPAREL RESEARCH FACILITY PENDLETON SC
Descriptive Note:
Final rept. 30 Jan 90-15 May 93,
Pagination:
0020

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Contract/Grant Number(s):
DLA900-87-D-0017
Monitor Series:
DLA
 Subject Terms
Joint Capability Areas:
JCA_1.2.7_Experimentation; JCA_5_Command and Control; JCA_5.3_Planning; JCA_3.2_Engagement; JCA_3_Force Application; JCA_5.4_Decide; JCA_5.5.2_Task; JCA_5.5_Direct
Modernization Areas:
Microelectronics
Communities of Interest:
Human Systems
Descriptor(s):
*SIGNAL PROCESSING, *FABRICS, *VIDEO RECORDING, *VISUAL INSPECTION, OUTPUT, VISION, PIXELS, FAULTS, STRIPES, PICTURES, AUTOMATIC, VIDEO SIGNALS, INSPECTION, SCALE, IMAGES
Field(s)/Group(s):
Textiles, Recording and Playback Devices
Keyword(s):
FLAW
Report Date:
1993 Oct 01