Support of Image-Based Quality Assessment in Discrete Production Scenarios through AI-Based Decision Support

被引：1

作者：

Feldmann, Sebastian ^{[1
]}

Kempter, Guido ^{[2
]}

Esslinger, Robert ^{[1
]}

Tran, Huu Tho ^{[1
]}

机构：

[1] Univ Appl Sci Aalen, Beethovenstr 1, D-73430 Aalen, Germany

[2] Univ Appl Sci Vorarlberg, Hochschulstr 1, A-6850 Dornbirn, Austria

来源：

4TH INTERNATIONAL CONFERENCE ON ALGORITHMS, COMPUTING AND SYSTEMS, ICACS 2020 | 2020年

基金：

欧盟地平线“2020”;

关键词：

D O I：

10.1145/3423390.3426729

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is based on results obtained during the research project IQ-Control. The main objective of the project targets the enrichment of a conventional perception-based 3D line scanning sensor data with methods of deep learning, in order to identify quality defects in discrete production scenarios in real-time. In the coming years, this process should help to preserve resources and further reduce material consumption, especially for large quantity production scenarios.

引用

页码：92 / 97

页数：6

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