Automated quality inspection on tile border detection using vision system
Most of the ceramic tile industry still doing the quality control by manually. The accuracy of the manual inspection by human is lower due to the harsh industrial environment with noise, extreme temperature and humidity. A camera should replace the human eyes to recognise the defect tile effectively...
Saved in:
Main Authors: | Mohd Shah, Hairol Nizam, Yap, Sher Kee, Kamis, Zalina, Baharon, Mohd Rizuan, Ab Rashid, Mohd Zamzuri |
---|---|
Format: | Article |
Language: | English |
Published: |
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
2019
|
Online Access: | http://eprints.utem.edu.my/id/eprint/24281/2/IJRTE-AUTOMATED%20QUALITY.PDF http://eprints.utem.edu.my/id/eprint/24281/ https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3983098319.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mobile robot navigation system vision based through indoor corridors
by: Mohd Shah, Hairol Nizam, et al.
Published: (2019) -
Computer vision automation system for sorting partially overlapping tiles
by: Hussin, Neam Tariq
Published: (2019) -
Shape-Based Matching: Defect Inspection of lue Process in Vision System
by: Sulaiman , Marizan, et al.
Published: (2010) -
Vision based position control for vertical take-off and landing (VTOL) using one singular landmark
by: Mohd Shah, Hairol Nizam, et al.
Published: (2019) -
Automated vision inspection of timber surface defect: a review
by: Hashim, Ummi Rabaah, et al.
Published: (2015)