Overall Equipment Utilisation (OEU) Monitoring and Remote Quality Check in Legacy Machine with Raspberry Pi

Siti Nurul Huda Abd Rahim, Abd Halim Embong

DOI: https://doi.org/10.51662/jiae.v1i2.26

Article Viewers

Abstract viewed: 293 times
PDF viewed: 237 times

Abstract


Overall Equipment Utilisation (OEU) plays an important role as a benchmark for manufacturing companies to determine each machine's efficiency. Currently, there is no proper OEU measurement system in legacy machines and only relies on human observation. This project aims to develop a measurement of OEU system by using Optical Character Recognition (OCR). An efficient Optical Character Recognition (OCR) algorithm is needed to have a high percentage of recognition rate. The outcome of this project will be a Graphical User Interface (GUI) that display real-time OEU monitoring and remote quality check for legacy machines. Pytesseract-OCR Version 4 classifier using the Recurrent Neural Network (RNN) method has been proposed in this paper. Furthermore, an error detection feature is designed from OCR output.


Keywords


Legacy machines; Overall Equipment Utilization (OEU); Optical Character Recognition (OCR); Tesseract;

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Journal of Integrated and Advanced Engineering (JIAE)
Akademisi dan Saintis Indonesia (ASASI)
p-ISSN: 2774-602X
e-ISSN: 2774-6038
Journal URL: https://asasijournal.id/index.php/jiae/
Journal DOI:  10.51662/jiae

Web Analytics Made Easy - StatCounter

View My Stats

JIAE is indexed by the following abstracting and indexing services:

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.