Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adaptive Label Refinement Network for Domain Generalization in Compound Fault Diagnosis.

Sensors (Basel, Switzerland)·2025
Same author

A Novel Quadrilateral Contour Disentangled Algorithm for Industrial Instrument Reading Detection.

Entropy (Basel, Switzerland)·2025
Same author

Environmental factors influencing the risk of ANCA-associated vasculitis.

Frontiers in immunology·2022
Same author

Rational engineering of a metalloprotease to enhance thermostability and activity.

Enzyme and microbial technology·2022
Same author

ACACB is a novel metabolism-related biomarker in the prediction of response to cetuximab therapy inmetastatic colorectal cancer.

Acta biochimica et biophysica Sinica·2022
Same author

Gold(I)-Catalyzed Tandem Intramolecular Methoxylation/Double Aldol Condensation Strategy Yielding 2,2'-Spirobi[indene] Derivatives.

Organic letters·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

Deep Learning-Based Pointer Meter Reading Recognition for Advancing Manufacturing Digital Transformation Research.

Xiang Li1, Jun Zhao2, Changchang Zeng3

  • 1School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced pointer meter reading recognition (PMRR) system for manufacturing data monitoring. The novel approach significantly improves accuracy and robustness in digital transformation initiatives.

Keywords:
PMRRdeep learningdigital transformationimage processingpattern recognition

More Related Videos

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

14.0K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

398

Related Experiment Videos

Last Updated: Jun 3, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

14.0K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

398

Area of Science:

  • Computer Vision
  • Machine Learning
  • Industrial Automation

Background:

  • Digital transformation in manufacturing necessitates accurate data monitoring.
  • Pointer meter reading recognition (PMRR) is crucial for industrial data collection.
  • Existing PMRR methods struggle with image variations like blur, tilt, and complex backgrounds, limiting accuracy and robustness.

Purpose of the Study:

  • To develop an end-to-end PMRR method that overcomes the limitations of current approaches.
  • To enhance the accuracy and robustness of pointer meter reading recognition in industrial settings.
  • To support the digital transformation of manufacturing systems with reliable data acquisition.

Main Methods:

  • A decoupled circle head detection algorithm (YOLOX-DC) based on the YOLOX detector was designed for accurate pointer dial detection.
  • A Unet-like pure Transformer segmentation network (PM-SwinUnet) with window multi-head attention was employed for enhanced feature extraction.
  • A scale and pointer fitting module was integrated into PM-SwinUnet for precise localization, and an improved angle method was used for reading calculation.

Main Results:

  • The YOLOX-DC algorithm demonstrated superior detection of pointer meter dials compared to traditional rectangular heads.
  • PM-SwinUnet effectively addressed missed scale detection and incomplete pointer segmentation, improving feature extraction.
  • The proposed end-to-end method achieved superior performance across three distinct pointer meter datasets.

Conclusions:

  • The developed end-to-end PMRR method offers a significant improvement in accuracy and robustness for pointer meter reading.
  • This approach provides a rapid and reliable solution for data monitoring in the digital transformation of manufacturing.
  • The study highlights the potential of integrating advanced deep learning models for industrial automation challenges.