International Symposium on Telecommunication (IST)

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A Low-Cost Passive Thermal IR Imaging System for Automated Hidden Object Detection Using AI

Authors :

Mohammad Javad Amiri¹ Saman Ghazanfari² Mohammad Parsa Mirzaei Sarmad³ Mohammad Fakharzadeh⁴

1- sharif university of technology 2- sharif university of technology 3- sharif university of technology 4- sharif university of technology

Keywords :

TIR Imaging System،Automated hidden object Detection،Deep learning

Abstract :

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 database 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 to train object detection algorithms, specifically YOLOv9 and R-CNN. 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.