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Smart security products

Intelligent devices (e.g., AI-powered cameras, motion sensors, access control systems) that automate threat detection, enable remote monitoring, and enhance security for buildings, campuses, or public areas.

    Intelligent Security Inspection Products and Support Systems

    (I) Product Positioning and Core Applications

    Security inspection product application scenarios resound transport management concepts "end-to-end coverage and multi-domain specialization" very closely. The central ideas are: 

    3D Modeling and Simulation: Use the advanced techniques for transforming flat 2D maps into 3D models and combine panoramic monitoring to obtain a comprehensive visual of the situation, to comprehend and anticipate;

    IoT Management: Equip devices with sensors for anomaly alerts and hazard detection and execute data models for the ease of preventive measures;

    Intelligent Dispatch and Prevention: Generate interaction scenarios by means of audio-visual and pinpoint the location of the suspicious target via AR + deployment systems;

    Warning Guidance and Linkage: Currently, there are three types of warning systems in operation (to be supplemented later); "one road, three parties" (road administration, traffic police, and highway operation units) + APP are used for multi-department coordination.

    (II) Key Domains and Interface Devices

    Key Domain Focus

    Dense Fog Research: The forecast is also part of the monitoring and early warning through data modeling;

    Traffic Situation Analysis: AI is used for data analysis to produce indexes, and hierarchical management is applied for raising the efficiency;

    UAV Patrol: Keep a record of the violations 24-hours a day, thus, closing the gap of emergency response and on-site investigation.

    External Interface Integration

    We are linking the external interface with nine different airport systems (for example cargo, video, security, and public security systems) to share data;

    Time-of-Flight (TOF) cameras operate based on the light-of-flight principle; their scenarios are volume measurement in logistics, security crowd counting, machine vision positioning, and medical modeling.

    (III) Aerial Intelligent Smart Security Applications

    Smart security products combine to become the fundamental elements of a "air-ground integrated" management and control network mainly characterized by intelligent UAV swarms and aerial monitoring stations as the major nodes. In fact, it is the ultimate full-domain security coverage by the integration of AI recognition, IoT transmission, and automation technologies.

    Core Capabilities

    Both high-definition night-vision cameras and infrared thermal imaging modules are employed to realize this night vision capability;

    AI algorithms are capable of real-time illegal intrusion instant recognition along with abnormal targets and can also automatically assign risk levels. Besides that, they can also automatically assign risk levels;

    Information from the regional security platform gathered in the area through SSL/TLS encrypted links is simultaneously connected with the AR deployment system and departmental collaboration APP for the going down of a closed loop of "aerial detection - ground disposal."

    Scenario Implementation

    Smart Airport Airspace Security: Identification of bird flocks and illegal flying objects in the airspace of daily operations of the airspace clearance zones, early warning, and interrelationship departments of air traffic control and security for the fast removal;

    Smart Highway Aerial Inspection: UAVs are entrusted with the task of monitoring the fixed routes so as to cover the earth blind spots like mountain areas and river-crossing bridges; AI finds road surface damage and railing destruction, and the data is directly linked to the highway management platform for the time of hidden danger removal getting shortened;

    Key Area Prevention and Control: For example, drones at service areas and toll stations together with the ground equipment for the establishment of a system; if an abnormal situation is detected, the staff on duty are automatically dispatched.

    Security Collaboration

    Current security inspection data platform integration;

    Flight data and recognition results follow the "request-approval-audit" process which is in line with the existing data security mechanism for the purpose of data security thereby being structured.

    V. Smart Airport Solutions

    Most of the core processes are done more efficiently largely with the support of AI, IoT, and automation technologies:

    Check-in Optimization

    The deployment of AI self-service terminals and IoT verification systems;

    Facial recognition is used for identity; AI is given the ticket purchase information through which boarding passes are issued; passengers with special needs (e.g., the elderly, the disabled) are provided with exclusive prompts;

    The efficiency of check-in has been enhanced to 40%, and the waiting time has been cut down to less than 3 minutes.

    Baggage Handling

    The installation of an IoT tracking network and an AI automated sorting system;

    With the help of RFID tags positioning is done in real-time, and AI is given the task of route planning;

    The rate of mis-sorting is below 0.1%, and the rate of baggage loss is reduced by half.

    Flight Scheduling

    AI uses weather data for risk prediction;

    IoT keeps a close watch on runway instruments; delay info is automatically sent for cons team optimization;

    The rate of on-time flights is increased by 15%, and the time for handling delays is reduced by 30%.

    Traffic Management

    Heatmaps are generated, and diversion alerts are given through the use of IoT sensors + AI;

    AI decides the positions of security inspection resources during the most congested hours;

    Congestion has been reduced to half of what it used to be.

    Data Collaboration Security

    It cooperates with the present airport systems;

    The earlier security mechanism is employed for the encrypted transmission;

    AI is constantly vigilant for data irregularities so that the privacy and security of the data will not be compromised.

    FAQ

    1. When and where is the Expo taking place?

    The event will take place for 3 days from the 13rd to the 15th of May 2026 at the Xiamen International Conference and Exhibition Center (XICEC) Hall C, in Xiamen, China.

    2. How large is the fair?

    The whole plan of the idea has been expedited to such an extent that the actual floor was 40,000 m² in size. The number of organizations exhibiting their products and services will be around 350+, and the number of professional visitors from everywhere in the world who will be attending the exhibition will be 30,000+.

    3. What are the main events?

    The organizers are expecting to have along with 80+ professional boards held during the event, and the events accompanying them will, of course, be open for the topics of intelligent mobility, shipping communication, safety, and sustainable development, etc.

    4. How many countries and regions participate?

    There are members from more than 80 countries and regions altogether. So, it is the global smart transportation technology network that is coming together.

    5. Are there any collaboration opportunities?

    Yes. The main enterprise cooperation functions that lead to technology change and funding opportunities are the reasons why the Expo is the best place for a global community of more than 1,000 partners.

    6. Who can I contact for more information?

    If you are seeking the most up-to-date information, collaborating with the Committee would be the most efficient way. It would be their greatest pleasure if you sent your inquiries via the Contact Us page of the official website.

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