Deep Learning and Optical Character Recognition for Digitization of Meter Reading

Yue Jiet Chong, Kein Huat Chua, Mohammad Babrdel, Lee Cheun Hau, Li Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the important steps in digital transformation is to make all the instrumental devices connected to the cloud. However, replacing the existing analogue meters with the cloud-connected digital meters can be very costly especially for industrial grade meters. In this project, a deep learning model based on Single Shot Detector (SSD) MobileNet V2 and an optical character recognition (Tesseract OCR) engine are developed for the low-cost digitization of analogue meter readings. The deep learning model is trained with a dataset of 750 meters' images, and it is used to detect the region of interest where the meter's readings are located. The OCR is used to convert the readings to string datatype. The image processing techniques via the OpenCV library are adopted for enhancing the quality of the region of interest (ROI). The model is developed in Python and the evaluation is carried for various types of meters, illumination conditions, and backgrounds. The results show that the deep learning model and OCR accuracies are 95% and 93%, respectively.

Original languageEnglish
Title of host publication2022 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781665487030
DOIs
Publication statusPublished - 2022
Event12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022 - Virtual, Online, Malaysia
Duration: 2022 May 212022 May 22

Publication series

Name2022 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022

Conference

Conference12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022
Country/TerritoryMalaysia
CityVirtual, Online
Period22-05-2122-05-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Instrumentation
  • Computer Vision and Pattern Recognition

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