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Related Concept Videos

Testing Water Quality01:14

Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...

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Sub-Terahertz Imaging-Based Real-Time Non-Destructive Inspection System for Estimating Water Activity and Foreign

Dong-Hoon Kwak1,2, Ho-Won Yun3, Jong-Hun Lee3

  • 1Future Technology Foresight Team, Korea Research Institute for Defense Technology Planning and Advancement, Jinju 52852, Republic of Korea.

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Summary

This study introduces a sub-terahertz wave system for real-time, non-destructive food inspection. It detects foreign matter depth and estimates seaweed freshness, enhancing food safety management.

Keywords:
food quality testnon-destructive inspectionobject detectionsignal processingterahertz

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Area of Science:

  • Food Science and Technology
  • Sensor Technology
  • Artificial Intelligence

Background:

  • Increasing emphasis on food hygiene and safety management necessitates advanced inspection technologies.
  • Non-destructive and non-contact inspection methods are crucial for efficient food manufacturing processes.

Purpose of the Study:

  • To develop a real-time, non-destructive food inspection system using sub-terahertz waves.
  • To detect foreign matter presence and depth within food products.
  • To estimate water activity for assessing seaweed freshness.

Main Methods:

  • Utilized sub-terahertz waves at 0.1 THz for non-destructive penetration of non-conducting food materials.
  • Employed YOLOv8n object detection model with Feature Pyramid Network (FPN) for efficient detection.
  • Implemented a hardware platform integrated with a conveyor system operating at 45 cm/s.
  • Collected and annotated 9659 sub-terahertz images for model optimization.

Main Results:

  • Achieved high performance metrics: precision rate of 0.91, recall rate of 0.95, F1-score of 0.93, and mean Average Precision (mAP) of 0.97.
  • Demonstrated accurate detection of foreign matter and its depth.
  • Showcased reliable estimation of water activity for freshness assessment.

Conclusions:

  • The proposed sub-terahertz inspection system offers excellent performance for foreign matter detection and freshness estimation.
  • The system is suitable for real-world food manufacturing applications, significantly contributing to food safety.
  • This technology provides a novel approach to non-destructive quality control in the food industry.