Abnormality detection strategies for surface inspection using robot mounted laser scanners
- Submitting institution
-
Coventry University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 13835877
- Type
- D - Journal article
- DOI
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10.1016/j.mechatronics.2018.03.001
- Title of journal
- Mechatronics
- Article number
- -
- First page
- 59
- Volume
- 51
- Issue
- -
- ISSN
- 0957-4158
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by EPSRC (EP/L01498X/1), a deliberate transformation of artificial intelligence techniques into a significant high-value manufacturing problem is achieved. A novel technique for automatic surface inspection for detection of abnormalities of less than 1mm size is developed. For the first time, the quality of surface inspection was analysed not only based on the performance of the machine learning techniques, but also the parameters of data acquisition system based on shape and size of abnormalities. The results of the paper is used by researchers in automation, metrology and manufacturing community. Several speaker invitations were received for international venues.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -