Dong-Hyun Kim, Sungyoon Cho, Kiwon Kwon, Journal of Internet Computing and Services, Vol. 26, No. 1, pp. 45-53, Feb. 2025
10.7472/jksii.2025.26.1.45, Full Text:  HTML
Keywords: ion mobility spectrometry, Container, Dangerous cargo, Drug, Bomb, Cyclone Sampler, Device intelligent detection

Abstract

In recent years, there has been an increasing trend of drug smuggling in South Korea. Major smuggling routes include international mail, express cargo, and containers, with cases of small quantities being concealed and brought in. This paper proposes a detection system based on Ion Mobility Spectrometry (IMS) for identifying hazardous materials (such as drugs and explosives) smuggled through port containers, one of the primary smuggling routes. To overcome the limitations of existing methods, such as X-ray scanners and drug-sniffing dogs currently used in ports, this system incorporates the widely adopted IMS detection technology, commonly used in airports worldwide. The proposed system uses a cyclone sampling device specifically designed for containers, enabling the detection of target substances without opening the container. Instead, air is extracted and adsorbed through the container’s ventilation outlets for component analysis. The system employs a manually operated adsorption head attached to a mobile structure, allowing it to connect to ventilation outlets, which may vary in location across containers. The cyclone sampler draws in air from the container through the ventilation outlet and transfers it to the IMS sensor. By measuring ion mobility, the system can detect drugs and explosives inside the container. The detection system features an integrated User Interface (UI) for control and real-time monitoring. Additionally, it incorporates an intelligent detection mechanism to prevent performance degradation caused by inter-ion interference, where ions with similar characteristics coexist due to interfering substances. This allows for the execution of a secondary detection process to enhance accuracy and reliability. the proposed detection system presents detection performance through reagents for 7 types of drugs and 13 types of explosives that can be tested.

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