Computer X-ray Tomography Scanner for suspicious objects in the luggage bag at the airport


  • Sansanee Hiranchan King Mongkut's University of Technology North Bangkok


Image processing, Computer X-ray Tomography Scanner, Luggage bag


This research is presented to the researchers to create a system to detect suspicious objects from real X-ray images using Deep Learning to help detect suspects. The system will detect the image from the computer X-ray Tomography Scanner. When a suspicious object is found in the DataBase, the system will send an alarm immediately. For employees to carry out further investigation The purpose of the research is to help to detect suspicious objects with greater accuracy. Reduce mistakes As well as helping to reduce terrorism and crime rates The scope of the research is that this system works in conjunction with a dangerous object scanner. By using images from the scanner and then processed to find the suspicious object specified in real-time. To allow staff to conduct inspections and further actions in accordance with the rules of that airport And design and develop software for computerized processing to lead to the development of a system to detect and analyze the connection of incidents related to terrorism Crime By comparing data obtained from X-ray images.

Research results show that The system can detect suspicious objects from images obtained from the Computer X-ray Tomography Scanner, a dangerous substance scanner in the luggage bag at the airport. The device will display a two-dimensional image (Tomogram), which is a picture that matches the database (Database) up to 99%, resulting in the detection of suspicious luggage with accuracy. And more accurate This system will work in conjunction with the Real-Time Hazardous Material Scanner and will notify the authorities for acknowledgement. to proceed with the investigation




How to Cite

Hiranchan, S. (2021). Computer X-ray Tomography Scanner for suspicious objects in the luggage bag at the airport. Science Technology and Innovation Journal, 1(3), 1–5. Retrieved from



Research Articles