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  1. A low-cost passive thermal IR imaging system for automated hidden object detection using AI

A low-cost passive thermal IR imaging system for automated hidden object detection using AI

Amiri, M. J ; Sharif University of Technology | 2024

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  1. Type of Document: Article
  2. DOI: 10.1109/IST64061.2024.10843428
  3. Publisher: IEEE , 2024
  4. Abstract:
  5. This paper presents a low-cost and AI-based automated solution for detecting hidden objects using thermal infrared imaging. We developed an affordable IR imaging setup and collected a comprehensive dataset of thermal images with different objects hidden under clothing. To overcome the challenges of low-resolution IR sensors, we implemented innovative signal processing techniques to enhance image quality, making it suitable for accurate object detection with AI. Meanwhile, a large dataset of over 1100 IR images with hidden objects was provided to train object detection algorithms, specifically YOLOv9 and RCNN. The average detection rate is close to 95%, which is higher than that of the similar work. Furthermore, we investigated the physics of thermal IR radiation, analyzing the temperature behavior of various concealed objects over time. © 2024 IEEE
  6. Keywords:
  7. Automated hidden object Detection ; Deep learning ; TIR Imaging System ; Deep learning ; Thermography (imaging) ; Automated hidden object detection ; Automated solutions ; Deep learning
  8. Source: 11th International Symposium on Telecommunication: Communication in the Age of Artificial Intelligence, IST 2024 ; 2024 , Pages 524-530 ; 979-835035625-0 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/10843428