Image Based Fault Detection Algorithm for Flexible Industrial Assembly Line

被引：4

作者：

Cojocaru, Jan-Iliuta-Romeo ^{[1
]}

Popescu, Dan ^{[1
]}

Ichim, Loretta ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Automat Control & Comp Sci, Bucharest, Romania

来源：

2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS) | 2019年

关键词：

image analysis; image fault detection; robotic assembly line; visual system;

D O I：

10.1109/CSCS.2019.00099

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a fault analysis and detection algorithm for a product industrial assembly line workflow. The images that describe the orientation and composition of the assembly line products are acquired using a video camera and analyzed using an algorithm for fault analysis and detection developed in Matlab. The small amount of time for image analysis along with a higher recognition rate for fault detection, recommend the proposed methodology for this type of industrial scenarios.

引用

页码：541 / 546

页数：6

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