A hybrid approach to detection and recognition of dashboard information in real-Time

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

The digital industrial dashboards are developing rapidly. But only to display numbers in dashboards has not met industrial demands, more text information are added into them. Therefore, this also increases the workload for the instrument testers. Traditionally, for testing the stability and accuracy of the displays, most testing work relies on human observation. In addition, some errors would be caused by fatigue, carelessness and other uncertain factors during human observation. In order to improve the efficiency of instruments reading and recording, this paper proposes an end-To-end real-Time instruments information location and recognition method based on OpenCV and a popular optical character recognition (OCR) engine, called 'tesseract'. We also design an online testing strategy to verify what is the performance about this system. Finally, the result would be generated as a test report for the display tester.

Original languageEnglish
Title of host publication2017 4th International Conference on Systems and Informatics, ICSAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1141-1145
Number of pages5
ISBN (Electronic)9781538611074
DOIs
Publication statusPublished - 28 Jun 2017
Event4th International Conference on Systems and Informatics, ICSAI 2017 - Hangzhou, China
Duration: 11 Nov 201713 Nov 2017

Publication series

Name2017 4th International Conference on Systems and Informatics, ICSAI 2017
Volume2018-January

Conference

Conference4th International Conference on Systems and Informatics, ICSAI 2017
Country/TerritoryChina
CityHangzhou
Period11/11/1713/11/17

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