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projectThis project aims to develop an innovative solution that combines AI-based automated inspection systems with multispectral imaging technology to swiftly analyze public documents for forgeries and revolutionize the immigration clearance procedure.
Rapidly and accurately identifying forged passports and identification cards is critical during the immigration clearance process. Traditional visual inspection methods face limitations due to increasingly sophisticated forgery techniques, and their heavy reliance on manual labor hinders the speed of the inspection process. This project aims to develop an innovative solution that combines AI-based automated inspection systems with multispectral imaging technology to swiftly analyze public documents for forgeries and revolutionize the immigration clearance procedure.
This system offers a range of features designed to improve the reliability of document reading and enhance the efficiency of immigration clearance. First, by applying multispectral visual intelligence technology, the system analyzes security features in passports and IDs using UV and IR imaging to detect forgeries. It is engineered to ensure stable reading performance under various lighting conditions.
Second, an AI-based automated inspection system has been implemented, utilizing deep learning-based image analysis models to precisely inspect security elements within public documents and automatically identify forged patterns. Furthermore, the system integrates facial recognition technology to verify the identity of the person against their passport photo. Finally, a blockchain-based data security system has been established where document data read during immigration is stored on a blockchain, fundamentally preventing any possibility of data tampering. This ensures the construction of a highly credible inspection system.
| Before (AS-IS) | After (TO-BE) |
|---|---|
| Current products and services are limited to detecting forgery at specific points or determining authenticity through the insight of external experts, such as by visual inspection or scanning holograms and hidden text. | Using AI-based pattern extraction and anomaly detection technology, it automatically verifies the authenticity of documents and reduces associated costs. |
This system is expected to accelerate the speed of immigration clearance and improve the accuracy of forged document detection. Moreover, by introducing blockchain-based data security technology, the project will contribute to establishing an internationally trusted immigration system.
Launch year: 2024
Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.2, https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=29182&parentSeq=29216
In partnership with
National Information Society Agency (NIA)
In partnership with
National Information Society Agency (NIA)
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