Customs Crime Analytics System (CCAS) for C&ED (ART/310CP)

Customs Crime Analytics System (CCAS) for C&ED (ART/310CP)

Customs Crime Analytics System (CCAS) for C&ED (ART/310CP)
ART/310CP
Platform
01 / 12 / 2020 - 31 / 05 / 2022
13,334.25

Dr Tao YU

Hong Kong Customs and Excise Department (Sponsor)


Customs & Excise Department (C&ED) officers need to analyze and correlate huge amount information from both internal systems and external sources (e.g. data from external counterparts) to conduct their enforcement work every day, such as case investigation, cross-border risk assessment, etc. Lacking advanced data analytics tools is the biggest challenge they are facing. This project aims to build an all-in-one smart analytics platform to consolidate and mine voluminous data from disparate sources in various formats (both structured and unstructured) and builds a customs’ crime knowledge base to facilitate Customs’ enforcement works. We will also develop artificial intelligence (AI) and predictive models to unveil hidden trends, predict patterns, relations and anomalies for proactive risk management. The developed platform can significantly enhance C&ED officer’s enforcement capability in work of crime detection, case investigation, cargo profiling, intelligence processing, etc. The analytics results produced by the platform can also be shared to other government departments to facilitate their enforcement work, such as enhancing food safety check for FEHD (Food and Environmental Hygiene Department), enhancing environmental protection for EPD (Environmental Protection Department), etc. It will help Hong Kong government to achieve long-term mission as an essential part of Smart Customs Blueprint.