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Business

CHANGE AND INNOVATION

Human and AI Collaboration – Striving for Zero Security Incidents

Product Use

Security screening to prevent incidents, accidents, and risks of technology leakages by using X-rays to identify hazardous items threatening safety or security items for corporate technology protection in facilities used by unspecified large groups without opening them.


Enhancing and replacing human roles with an AI automated inspection system to minimize human errors and improve scanning efficiency.

Main Features

AI Detection Images for Hazardous Items

AI Detection Images for Information Security Items
MI KSCAN’s AI can automatically detect 20 types of hazardous items and 6 types of information security items.
Due to the rise in incidents like terrorism, smuggling, safety, and security issues, the security scanning market has grown rapidly,
but the lack of national certification systems (laws) and core technologies has led to reliance on overseas sources.
The government has also established a national certification system to promote self-reliant defense and technology independence, fostering and nurturing the related ecosystem.
Korea Certification System
※ 10-year lifespan as per law
Field Regulation Responsible Ministry Implementation Delegated Certification Authority Delegated Testing Institution
Aviation Aviation Security Act 2018.10. Korea Institute of Aviation Security Technology Korea Testing Laboratory
Railway Railway Safety Act 2019.10. Korea Railroad Research Institute
Port International Ship and Port Facility Security Code 2021.12. Korean Register of Shipping
Major Overseas Certification Institutions
※ Certification systems implemented only in some advanced countries
Country Major Overseas Certification Authority
USA Transportation Security Administration(TSA)
Europe European Civil Aviation Conference (ECAC)
China Civil Aviation Administration of China (CAAC)
Explosives Detection Technology & CT

Over decades, CT data acquisition methods have evolved, introducing the Cone-Beam structure, which enables the fastest scanning speed currently available.

Unlike the medical field, due to high scanning volume and the need for continuous imaging, durability and rotational speed are emphasized in the design of the slip-ring connectivity structure.

Deep learning-based technology is applied to minimize Cone-Beam effects and enhance image quality at the Sinogram stage before image reconstruction.

Currently under development with a target for commercialization in 2025.

Developing AI detection technology for items indicative of explosives by integrating the existing inorganic and organic material differentiation algorithm with density analysis technology.

The items scanned using 3D-CT X-ray security equipment require the establishment of separate datasets for inorganic organic material color + component analysis + shape information.

Especially for explosives, due to their non-standardized forms, component analysis data training and dataset creation must be prioritized.

※Source: Google Objectron Dataset
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