Intelligent Defect and Anomaly Detection System - A Study in Tofu
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU118631" target="_blank" >RIV/00216305:26230/15:PU118631 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Intelligent Defect and Anomaly Detection System - A Study in Tofu
Original language description
The report proposes an intelligent system for detection of defects in images based on a number of computer vision and pattern recognition methods: classification, segmentation, anomaly detection, and classification support visualization. The components were tested on real-life data from a food packaging plant.The studied methods have to be able to detect physical defects and anomalies of various types of products and they should be able to adapt to new types of products and defects automatically or by users supervision. The user should be able to guide the detection system by providing examples of defects, by correcting wrong detections of the automated system, or by similar actions.
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2015
Confidentiality
C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.
Data specific for result type
Number of pages
35
Place of publication
Brno
Publisher/client name
Fingera s.r.o.
Version
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