The AI intelligent image judgment system at Beijing South Railway Station can accurately identify prohibited items in passengers' luggage and mark them precisely, greatly reducing the pressure on security inspection staff and improving work efficiency.

At present, most security inspection machines in the railway, civil aviation, subway and other industries are non-intelligent devices. For the position of image judgment operator, relatively rich experience is required to properly undertake the work of image judgment. If the system can identify prohibited items in the images output by X-ray security inspection machines and provide similarity, the threshold for security image judgment operators can be greatly reduced, thereby reducing the corresponding personnel usage.

The AI intelligent image judgment project at Beijing South Railway Station was implemented precisely based on this idea. The system adopts image recognition technology to automatically analyze the luggage images output by security inspection machines. It can accurately identify prohibited items in passengers' luggage and mark them precisely, while providing the similarity between the recognition results and the characteristics of prohibited items, offering intuitive and clear prompts for image judgment personnel.

In terms of recognition capability, the system covers multiple categories of prohibited items such as firearms and ammunition, flammable liquids, explosive materials, knives, sharp instruments, blunt instruments, military and police equipment, tools, and flammable and explosive items, and can continuously update recognition features through learning to adapt to changing security inspection needs. The system connects with the existing equipment of security inspection channels, and image judgment personnel can view system prompts on the original working interface without changing existing operating habits.

After the project was put into use, the threshold for security image judgment work at Beijing South Railway Station was lowered. Newly onboarded personnel can undertake image judgment tasks more quickly, and image judgment efficiency and work quality have been improved, greatly reducing the pressure on security inspection staff and providing strong support for the station's daily operations.

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