Journal article
Modeling errors for dimensional inspection using active vision
Robotics and computer-integrated manufacturing, v 15(1), pp 23-37
1999
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In active vision inspection, errors in dimensional measurements are often due to displacement of the sensor and image digitization effects. Using a model of error in linear measurements based on a normally distributed sensor displacement, uniform image digitization and geometric approximation, the accuracy of measurements from a particular sensor setting can be assessed. In comparison with experimental measurements, this error model demonstrates a high predictive ability. Related experiments demonstrate a procedure for assessing the accuracy of sensor settings providing insight into what sensor settings lead to lower measurement variances and thus higher measurement reliability.
Metrics
Details
- Title
- Modeling errors for dimensional inspection using active vision
- Creators
- Christopher C Yang - Department of Computer Science and Information Systems, The University of Hong Kong, Hong KongMichael M Marefat - Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ 85721, USAFrank W Ciarallo - Department of Systems and Industrial Engineering, The University of Arizona, Tucson, AZ 85721, USA
- Publication Details
- Robotics and computer-integrated manufacturing, v 15(1), pp 23-37
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000081059600002
- Scopus ID
- 2-s2.0-0032643456
- Other Identifier
- 991014878185104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Manufacturing
- Robotics