Detail výsledku

Intelligent Defect and Anomaly Detection System - A Study in Tofu

HRADIŠ, M. Intelligent Defect and Anomaly Detection System - A Study in Tofu. Brno: Fingera s.r.o., 2015. p. 1-35.
Typ
souhrnná výzkumná zpráva
Jazyk
anglicky
Autoři
Hradiš Michal, Ing., Ph.D., UPGM (FIT)
Abstrakt
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.
Klíčová slova

anomaly detection, defect detection, visual quality control, semi-supervised learning, active learning, convolutional neural networks

Rok
2015
Strany
1–35
Vydavatel
Fingera s.r.o.
Místo
Brno
BibTeX 
@misc{BUT123629,
  author="Michal {Hradiš}",
  title="Intelligent Defect and Anomaly Detection System - A Study in Tofu",
  year="2015",
  pages="1--35",
  publisher="Fingera s.r.o.",
  address="Brno",
  note="Summary research report"
}
Projekty
Inovační voucher JIC - Inteligentní vizuální kontrola kvality výrobků, Inkubátor VUT, zahájení: 2015-06-01, ukončení: 2015-12-31, ukončen
Výzkumné skupiny
Výzkumná skupina počítačové grafiky (VZ GRAPH)
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru