The Duolun Smart Public Security Checkpoint Solution is designed around the principle of "Intelligent Policing, Smart Services." Leveraging mainstream technologies such as Augmented Reality (AR), Artificial Intelligence (AI), Big Data Visualization, the Internet of Things (IoT), and Cloud Computing, the system establishes a multi-layered data collection network. This network utilizes cameras deployed in the outer perimeter (6km), mid-field (3km), and within the checkpoint lanes themselves to gather data on individuals and vehicles.

Backend systems employ big data analytics and multi-system coordination to focus on these two core elements—people and vehicles—enabling proactive threat detection, full-process monitoring, identity and vehicle verification, precise interception, and coordinated command and dispatch. This significantly enhances the checkpoint's inspection efficiency and expands its control capabilities.

The solution achieves the operational objectives of pre-arrival warning, controlled interception during inspection, and post-departure traceability.