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Instrument Pointer Recognition Scheme Based on Improved CSL Algorithm.

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  • 1School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065, China.

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Summary
This summary is machine-generated.

This study introduces an intelligent YOLOv5 pointer instrument recognition technology, improving on traditional methods. The new approach enables rapid, efficient, and adaptable real-time monitoring for industrial applications.

Keywords:
CSLYOLOv5angle recognitionbinary codingobject detection

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Area of Science:

  • Computer Vision
  • Machine Learning
  • Industrial Automation

Background:

  • Traditional pointer instrument recognition is inefficient and complex, hindering real-time industrial monitoring.
  • Existing methods like Hough detection have poor adaptability and require extensive image preprocessing.

Purpose of the Study:

  • To develop an intelligent reading recognition technology for pointer instruments using YOLOv5.
  • To overcome the limitations of traditional methods for real-time industrial applications.

Main Methods:

  • Improved CSL coding method and a pre-cache mechanism.
  • Utilized YOLOv5 for rapid positioning and reading recognition of pointer instruments.
  • Eliminated angle interaction issues in rotating target detection.

Main Results:

  • The proposed algorithm effectively identifies pointer instrument angles.
  • Achieved high detection efficiency and strong adaptability compared to traditional algorithms.
  • Simplified image preprocessing requirements.

Conclusions:

  • The intelligent YOLOv5 pointer instrument recognition technology offers a more efficient and adaptable solution.
  • Demonstrates broad application prospects in real-time industrial monitoring.
  • Addresses key challenges in pointer instrument recognition.