Adoption of Video Analytics, Big Data Analytics, Machine Learning, etc for supporting passenger clearance
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Service Needs
Reference No.
N-0093
Title
Business Needs / Challenges
The Department is always faced with the challenge of upholding effective Customs control while maintaining quality clearance services at entry and exit points. The passenger throughput keeps increasing in recent years, which makes it difficult to rely solely on manual risk assessment conducted on the spot by frontline officers. It is suggested to employ advanced technologies, such as video analytics, big data analytics and machine learning to assist officers to conduct passenger flow analysis, risk profiling and on-the-spot risk assessment.
Application Areas
Law and Security
Expected Outcomes
It is expected that with the use of video analytics, features and characteristics of the passengers’ motion can be automatically captured. These features/characteristics may include flow rate, passengers’ outfits, carried items, routing across the control points and number of companions, etc. By using big data analytics, these collected data are expected to generate insights that can be utilised to draw meaningful conclusions that support risk profiling. Furthermore, with the employment of machine learning, it is expected that risk assessment models can be developed and integrated with CCTV system to support real-time risk assessment on the spot.
Technologies to be Used
Artificial Intelligence (AI)
Data Analytics
Deep Learning
Machine Learning
Predictive Analytics
Video Analytics
