An intelligent security image judgment system was deployed at Tangshan Station to enable real-time detection and warning of prohibited items and precise identification of liquid composition, with a detection rate of over 98%.

Tangshan Station is an important node in regional railway transportation, handling a large volume of passenger travel services, with many security check channels and heavy image judgment pressure. The prohibited items that passengers may carry in their luggage are diverse in type and complex in form, placing high demands on image judgment personnel's identification ability and response speed. The project deployed an intelligent security image judgment system at Tangshan Station. Through the collection and analysis of security inspection image data, it enables real-time detection and warning of firearms and ammunition, flammable liquids, explosive materials, knives, sharp instruments, blunt instruments, military and police equipment, tools, and flammable and explosive items concealed in passenger luggage.

Through a proprietary image data segmentation method, the system conducts comprehensive scanning of passenger parcels in layers and by category, assisting check-in personnel in quickly locating prohibited items. The system is compatible with security inspection machines of different brands and can be directly connected to existing security check channels, reducing equipment replacement costs. Leveraging a powerful prohibited item recognition algorithm, the system can precisely identify flammable and explosive liquid components carried in passenger parcels, such as alcohol, kerosene, gasoline, diesel, pesticides, paint, perfume, floral water, and various alcohol-containing spray products, and accurately labels the liquid composition, greatly improving the detection rate of liquid items.

During operation, the intelligent image judgment system complements the work of security personnel: the system performs preliminary analysis of images and provides prompts, while image judgment personnel conduct review and confirmation based on the system's prompts, which both speeds up image judgment and retains the flexibility of manual judgment. The system also records recognition results during the image judgment process, accumulating data for subsequent security training and process optimization.

After the project was put into use, the security image judgment efficiency at Tangshan Station has improved, and the ability to intercept prohibited items has been enhanced, providing strong support for the station's daily passenger transport organization and passengers' safe travel.

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