Integrating new artificial intelligence technologies into traditional inspection operations to assist in the construction of modern customs
On December 30, 2025, during the inspection operation of a batch of imported fruits by Tianjin Xingang Customs under Tianjin Customs, the inspector clicked the "Intelligent Inspection Assistant" button in the inspection terminal PAD, and a dialog box immediately popped up: "Please pay close attention to whether the product contains quarantine harmful organisms during inspection", and highlighted the risk prone areas and typical pictures. Based on the prompt, the customs officer conducted a detailed inspection of the goods and found lesion features similar to typical images on the top of some fruits. They immediately added sampling and inspection requirements in addition to the instructions and carried out sampling operations according to the assistant's instructions. After laboratory testing, it has been identified as a quarantine harmful organism. The on-site customs immediately implemented quarantine treatment on the batch of goods. This is a microcosm of the application of intelligent customs' "port artificial intelligence inspection" business scenario on the front line of inspection.
In order to effectively solve the problems of strong professionalism, extensive extension, diverse product characteristics, and lack of real-time identification and auxiliary support for authentic goods information in the manual inspection process at customs ports, the General Administration of Customs has promoted the construction of the "Port Artificial Intelligence Inspection" business scenario. By establishing an AI model for manual inspection of customs goods, integrating it into the inspection operation system process, and combining declaration data, accompanying documents, historical inspections and other information, it actively generates risk warnings and operation reminders, providing accompanying and accurate operation prompts for grassroots inspection officers.
Refine the essence of port inspection knowledge and experience, and improve the pertinence of inspection operations. There are many requirements for port inspection instructions, complex inspection forms, high clearance time requirements, and business norms such as guidelines, industry standards, and monitoring plans need to be taken into account during operations. Tianjin Customs organized on-site business backbone, with commodity codes as the main line, extracting key information of commodities item by item, analyzing tariff annotations, and converting natural language based commodity situations into commodity attribute data including functions, uses, principles, and other dimensions, to assist customs officers in understanding the detailed information of the goods to be inspected. Collect policy regulations, regulatory requirements, inspection elements, inspection and quarantine operation guidelines, and other on-site inspection operation norms to form commodity inspection element data, which is used to guide inspection officers to implement scenario based and precise inspection operations. At present, more than 70000 knowledge logics have been established, covering common goods such as animal and plant products, food, machinery, etc.
Develop intelligent assistants for on-site inspection operations at ports, forming a new model of digital inheritance for inspection. In order to solve the problem of insufficient work experience and professional knowledge reserves of some customs officers, Tianjin Customs innovatively applies artificial intelligence and machine deep learning technology, organizes technical experts to continuously train customs exclusive intelligent assistants, and constructs an upgradable and iterative vertical subdivision domain large model. Experienced inspection experts are simulated to interact with front-line law enforcement customs officers in multiple rounds of language, assisting in reminding customs officers of pre inspection preparation matters, distinguishing product classification and inspection points, and safety access requirements. This changes the traditional business skill inheritance model of "oral transmission" and "word of mouth" in the past, and provides authoritative, convenient, and efficient knowledge supply and professional support for customs officers' law enforcement through intelligent and information-based methods, assisting on-site customs officers in conducting pre inspection analysis and judgment and making decisions during the inspection process.
The journey is full of wind and strength, and we set off again with a heavy responsibility. In the future, the business scenario of "Port Artificial Intelligence Inspection" will be anchored by "Intelligent Inspection Assistant", continuously promoting optimization, upgrading, and replication promotion, with better supervision, higher security, and greater convenience, to help build a modern customs, support high-level opening up, safeguard national interests, and promote economic development.