학술논문

An Evaluation of Stack Light Indicator Color Detection System Using Web Cameras for Automatic Production Lines
Document Type
Conference
Source
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019 Asia-Pacific Signal and. :1423-1426 Nov, 2019
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Cameras
Image color analysis
Production
Estimation
Optimization
Color
Manufacturing
Language
ISSN
2640-0103
Abstract
In production lines, manufacturing devices are operated in a pipelined manner to produce desired products. The pipeline stops when an error occurs at any manufacturing device. In order to prevent a decrease in production efficiency, it is necessary to detect the abnormality earlier. This work aims at early detection and record of the abnormal occurrence by judging the color of the stack light indicator informing the abnormality installed in each device. We utilize web cameras for this purpose, considering its versatility. In this paper, we show an evaluation result of a system for detecting stack light indicator color using web cameras.