Research on intelligent customs declaration generation in Guangdong-Hong Kong cross-border road cargo clearance

Chengguo Han; Bin Wang

doi:10.1117/12.3009242

11 October 2023 Research on intelligent customs declaration generation in Guangdong-Hong Kong cross-border road cargo clearance

Chengguo Han, Bin Wang

Author Affiliations +

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181P (2023) https://doi.org/10.1117/12.3009242
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Due to the uniqueness of “one country, two systems” and “two customs territories” in Guangdong (GD) and Hong Kong (HK), cross-border road cargo clearance between the two regions requires the creation of several documents. These include the Road Cargo Manifest, Vehicle Declaration, Customs Declaration, HK Seamless, HK Bundle, and HK Customs Declaration, as well as additional documents such as Packing List, Contract, and more. The use of Artificial intelligence (AI) can streamline the process of generating these documents and ensure accuracy and efficiency in cross-border road cargo clearance operations. This paper focuses on four aspects: text scanning and recognition, extraction of commodity classification declaration elements, conversion of customs declaration documents, and intelligent commodity classification. These areas of research aim to address the time-consuming and labour-intensive process of document creation and verification. By leveraging AI technologies, such as optical character recognition (OCR), data extraction algorithms, and machine learning (ML), it is possible to automate and optimize the production and review of these documents, thereby reducing time and manpower costs in cross-border road cargo clearance operations between GD and HK. Based on big data analysis of customs declaration documents from both regions, AI technologies such as feature extraction and machine learning can be utilized to achieve automation in the identification of documents like road cargo manifests and customs declarations. This research applied to the China International Trade Single Window (Shenzhen) and significantly improved the efficiency and accuracy of customs declaration in GD and HK.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chengguo Han and Bin Wang "Research on intelligent customs declaration generation in Guangdong-Hong Kong cross-border road cargo clearance", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181P (11 October 2023); https://doi.org/10.1117/12.3009242

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KEYWORDS

Optical character recognition

Roads

Artificial intelligence

Detection and tracking algorithms

Evolutionary algorithms

Machine learning

Decision trees

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