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Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash.

Mathew G Pelletier1

  • 1United States Department of Agriculture, Agricultural Research Services, Lubbock Tx. USA. mpelletier@lbk.ars.usda.gov.

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Summary

This study introduces a faster cotton trash sensing system using graphic processing units (GPU) instead of central processing units (CPU). This advancement enables real-time feedback control, significantly reducing cotton lint loss and fiber damage.

Keywords:
CottonGPUImage processingMachine visionSensing

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Area of Science:

  • Agricultural Engineering
  • Computer Vision
  • Textile Manufacturing

Background:

  • Current cotton lint cleaning systems lack real-time trash sensing, leading to over-cleaning and significant lint loss.
  • Existing machine vision systems face processing time limitations, hindering effective real-time control.
  • Large safety buffers in cleaning machinery result in fiber damage and reduced yield.

Purpose of the Study:

  • To develop a rapid trash sensing system for cotton lint cleaning.
  • To improve processing times for machine vision systems in textile applications.
  • To enable real-time feedback control for optimized cotton cleaning processes.

Main Methods:

  • Utilized programmable graphic processing units (GPU) as an alternative computation platform.
  • Developed a new parallel algorithm for cotton trash sensing and image processing.
  • Implemented and tested the algorithm on a GPU for enhanced processing speed.

Main Results:

  • Achieved a speed-up of over 6.5 times compared to optimized code on a central processing unit (CPU).
  • Processed a 1024x1024 image in less than 17ms, enabling real-time capabilities.
  • Demonstrated potential for up to 30% reduction in lint loss through tightly coupled sensing and control.

Conclusions:

  • GPU-based processing significantly accelerates machine vision for cotton trash detection.
  • The developed parallel algorithm and GPU implementation are suitable for real-time feedback control in cotton cleaning.
  • This advancement promises to reduce waste, minimize fiber damage, and improve the efficiency of cotton processing.