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A Numerical Measurement Method for Dynamic Granular Materials Based on Computer Vision.

Hao Liu1, Yuxing Nie2, Man Chen3

  • 1School of Civil Engineering, Central South University, Changsha 410075, China.

Materials (Basel, Switzerland)
|May 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a computer vision method to measure dynamic granular materials. The improved video instance segmentation accurately tracks granule movement, providing valuable data for material behavior analysis.

Keywords:
computer visiondynamic granular materialsnumerical measurementvideo instance segmentation

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Area of Science:

  • Materials Science
  • Computer Vision
  • Mechanical Engineering

Background:

  • Granular materials are ubiquitous, and their behavior is influenced by granule motion.
  • Computer vision offers novel approaches for quantifying dynamic granular material properties.

Purpose of the Study:

  • To develop and validate a computer vision-based numerical measurement method for dynamic granular materials.
  • To enhance the accuracy and reliability of measuring granular material motion parameters.

Main Methods:

  • An improved video instance segmentation (VIS) network was developed for end-to-end multi-task learning.
  • Temporal feature fusion and a tracking head with long-sequence external memory addressed data quality and appearance similarity issues.
  • Numerical information was extracted via post-processing, and results were validated against real values.

Main Results:

  • The improved VIS achieved an average precision (AP) of 76.6.
  • Relative errors and standard deviations in measurements were consistently low.
  • The method demonstrated effectiveness in measuring translation, rotation, velocity, and acceleration of granular materials.

Conclusions:

  • The proposed method offers an intelligent solution for measuring dynamic granular material information.
  • This technique is significant for understanding granular material spatial distribution, motion, and macro-mechanical behavior.