SisonAI Begins MOTIE Project for Development of All-in-One Security Screening Platform for Airports and Future Transportation

On September 29, Vision AI specialist company SisonAI announced that a consortium including SisonAI has been selected for the project "Development of an All-in-One Security Screening Platform Based on User-Friendly Design for Airports and Future Transportation Services," supported by the Ministry of Trade, Industry and Energy and the Korea Institute for Advancement of Technology.

The project is led by Creative Design, with SisonAI, SST Lab, and Hanseo University Industry-Academic Cooperation Foundation participating as consortium members. The research and development period is set until December 2030. The total R&D budget is 8,495,200,000 KRW (approximately 8.5 billion KRW), of which 6,370,000,000 KRW (approximately 6.37 billion KRW) will be provided by the government.

This research and development aims to build a smart all-in-one security screening platform that can cover not only existing passenger transport services at airports and ports, but also future transportation environments such as Urban Air Mobility (UAM) and Purpose-Built Vehicles (PBV).

The R&D team plans to integrate carry-on baggage CT scanners, full-body scanners, and shoe scanners into a single device, and to develop a "hybrid walkthrough" security screening platform that combines AI-based identity authentication and behavior detection technologies. Through this, the goal is to create an environment where passengers can complete security screening naturally while walking and moving, without having to stop or remove their belongings.

SisonAI's roles in the project include: ▲ developing AI-based identity recognition and forgery detection algorithms ▲ implementing behavior analysis and abnormal behavior detection technologies ▲ designing and developing the e-Gate system ▲ establishing a personal information protection framework ▲ installing test beds and conducting pilot operations.

▲Creative Design, as the lead institution, will oversee UX and UI design, hardware design development, the design of the hybrid walkthrough structure, and the implementation of the integrated system architecture. ▲SST Lab will be responsible for developing AI-based security screening equipment such as CT scanners, full-body scanners, and shoe scanners, hardware integration, building server and communication protocols based on open architecture, and developing remote reading systems. ▲Hanseo University Industry-Academic Cooperation Foundation will develop operational environment scenarios for each model such as airports and vertiports, and verify the feasibility, user experience, and security efficiency of the derived scenarios.

If the project is successfully completed, the company expects to provide fast and secure security screening services in future transportation infrastructure such as airports and vertiports. In particular, it is expected to create various economic and social added value by increasing passenger throughput per hour without terminal expansion, improving operational efficiency at regional airports and vertiports, and raising the level of security standards. In addition, by establishing a proactive AI-based security system that detects and blocks potential threats in advance, the project aims to move beyond traditional reactive approaches and build an advanced security paradigm.

Chun Gicheol, director and head of research at SisonAI, stated, "Through this project, SisonAI's facial recognition identity authentication, behavior analysis, and forgery detection technologies will contribute to the localization and advancement of cutting-edge security screening systems. In particular, by proactively securing security infrastructure capabilities for future transportation environments, we will gain new competitiveness and lay the foundation for entry into the global market."