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Related Experiment Video

Updated: Jan 10, 2026

Hand-held Clinical Photoacoustic Imaging System for Real-time Non-invasive Small Animal Imaging
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Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly.

Gabriela Ghimpeteanu1, Hayat Rajani2, Josep Quintana1

  • 1Coronis Computing SL, 17003 Girona, Spain.

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Hyperspectral imaging (HSI) effectively detects foreign objects in pork, enhancing food safety. This automated quality control method shows high accuracy and efficiency, even with temperature variations.

Keywords:
food-processing industryforeign body detectionhyperspectral imagingimage segmentationmachine learningvision transformer

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Area of Science:

  • Food Science and Technology
  • Spectroscopy
  • Computer Vision

Background:

  • Food safety and quality control in processing industries face challenges with contaminant detection.
  • Traditional visual inspection methods often fail to identify subtle contaminants.

Purpose of the Study:

  • To assess the feasibility of hyperspectral imaging (HSI) for detecting foreign objects on pork belly meat.
  • To develop an automated system for real-time quality control in food processing.

Main Methods:

  • Utilized a Specim FX17 hyperspectral camera for data acquisition in the 900-1700 nm range.
  • Implemented a segmentation approach using a lightweight Vision Transformer with pre- and post-processing.
  • Tested the system on images with and without contaminants, including under varying production-line temperatures.

Main Results:

  • The method achieved high detection accuracy, retaining most true positives and eliminating false positives on clean images.
  • The system demonstrated robustness against noise, temperature drift (10-55 °C), and spectral similarity.
  • Zero false positives were observed on a challenging set of 95 images with fat-like spectra.

Conclusions:

  • Hyperspectral imaging is a feasible technology for automated contaminant detection in pork processing.
  • The developed Vision Transformer-based approach offers high accuracy and training efficiency.
  • This HSI system supports real-time quality control, significantly improving food safety assurance.