Anomaly detection for vision-based inspection
The usage of Artificial Intelligence (AI) techniques in vision-based anomaly detection is gaining traction within the manufacturing industry for quality inspection purposes. The implementation of visual inspection in a production line can effectively detect defective products, while saving time and...
| Main Author: | Chew, Yan Zhe |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2022
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/4954/ http://eprints.utar.edu.my/4954/1/3E_1806357_FYP_Report_%2D_YAN_ZHE_CHEW.pdf |
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