Korea Customs Service Sweeps 'Public Big Data Analysis Contest'
[Asia Economy (Daejeon) Reporter Jeong Il-woong] The Korea Customs Service won both the grand prize and the excellence award in the public official category at the ‘2021 Public Big Data Analysis Contest’ hosted by the Ministry of the Interior and Safety.
The Korea Customs Service is the only single agency whose public officials advanced to the finals, presented more than two cases, and won awards in the contest.
On the 14th, the Korea Customs Service announced that it received honors by presenting the ‘Deep Learning-Based Drug Offender Prediction Model’ and the ‘AI-Based Risk Cargo Screening Model Using Customs Import Data’ at the recently held contest.
The ‘Drug Offender Traveler Prediction Model’ is a system that automatically screens travelers with a high likelihood of drug offenses by combining 64 passenger reservation data items such as personal information, booking, ticketing, and boarding information held by the Korea Customs Service with past drug smuggling detection history types, using supervised learning.
This system won the grand prize due to its clear reduction in time compared to the previous manual screening method for risky travelers and its advantage of reflecting evolving drug smuggling trends in real time.
The ‘AI-Based Risk Cargo Screening Model Using Import Data’ is a computational method that predicts the illegality and risk level of imported cargo by learning from import data accumulated by the Korea Customs Service and inspection results from customs officers.
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Im Jae-hyun, Commissioner of the Korea Customs Service, said, “The public officials who won the contest are graduates of the core ICT talent training program that the Korea Customs Service has been promoting for several years.” He added, “In particular, the grand prize winner is an employee of Incheon Customs, confirming that the capability to utilize new technologies has spread to regional customs sites.”
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