Publication Details

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.

Czech title

Inteligentní detekce defektů a anomálií

Type

summary research report - contract. research

Language

English

Authors

Hradiš Michal, Ing., Ph.D. (DCGM)

Keywords

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

Abstract

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.

Published

2015

Pages

1–35

Publisher

Fingera s.r.o.

Place

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 - contract. research"
}