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A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection.

Zhu Li1, Yisha Zhou1, Qinghua Sheng1

  • 1School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310000, China.

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|October 24, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a novel algorithm for automatically reading pointer meters, improving accuracy and robustness. The method uses deep learning and polar transformation for reliable industrial meter measurement.

Keywords:
deep learningdistance methodpointer metersecondary search

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Area of Science:

  • Engineering
  • Computer Science
  • Metrology

Background:

  • Automatic reading of pointer meters is crucial for efficient industrial measurements.
  • Existing algorithms struggle with accuracy and robustness, particularly concerning illumination and shooting angles.
  • Variability in pointer meter designs presents a challenge for automated systems.

Purpose of the Study:

  • To develop a novel, adaptive algorithm for accurate and robust automatic reading of diverse pointer meters.
  • To overcome the limitations of existing methods in handling varying illumination and angles.
  • To enhance the efficiency and reliability of industrial meter measurements.

Main Methods:

  • Utilized deep learning for detecting and recognizing scale value text on meter dials.
  • Implemented image rectification and meter center determination based on text coordinates.
  • Employed polar transformation to convert circular scale regions into linear ones.
  • Determined pointer and scale line positions using a secondary search on an expanded graph.
  • Applied a distance method for reading the scale region indicated by the pointer.

Main Results:

  • The proposed algorithm demonstrated higher accuracy in detecting pointer meter readings.
  • The method exhibited improved robustness against variations in illumination and shooting angles.
  • Successful adaptive detection across different types of pointer meters was achieved.

Conclusions:

  • The novel algorithm offers a significant advancement in the automatic reading of pointer meters.
  • The approach provides a more accurate and robust solution compared to existing methods.
  • This technology has the potential to improve industrial meter measurement efficiency and reliability.