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Interception system for risky luggage items
Interception system for risky luggage items

As an integrated smart system for the pre-inspections and interception of suspected luggage, it includes subsystem about intelligent image judgment, luggage labeling, automated inspection at channels, monitoring over high-risk passengers, etc. With help of advanced machine learning and target tracking algorithm, it can achieve risk warning and interception for passengers and luggage by means of timely matching and real-time monitoring and inspections for suspected luggage and the corresponding passengers.

The system automatically acquires the X-ray data of luggage and identifies prohibited articles in luggage quickly and accurately by means of the target detection and identification algorithm and the prohibited article database comparison algorithm. Furthermore, it can acquire personal information of the suspected passengers according to the arrival data, departure data and luggage labels of airports and realize intelligent alarms and interception through the machine vision technology and the target tracking algorithm when the suspected passengers pass through customs inspection channels so that customs officers can handle the issues. It is simple, stable, convenient, compatible, extensible, etc.

Warning against prohibited articles and suspected passengers, ensuring timely interception;

Full-coverage inspections for inbound and outbound luggage, ensuring high accuracy and security;

Intelligent identification of prohibited articles, ensuring higher inspection automation and lower workload of staff;

Tracking of true data such as the pictures before open-luggage inspections and pictures of the exteriors of luggage with help of X-ray equipment, and support for queries and call of these data in a certain period;

Higher intelligence because of multiple types of information prompts, inspections through WEB platforms and mobile terminals, open-and-shut management and queries and tracking of the information of suspected articles whenever necessary;

Data sharing with and uploading to authorities of higher level by means of seamless connection with third-party software systems


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As an integrated smart system for the pre-inspections and interception of suspected luggage, it includes subsystem about intelligent image judgment, luggage labeling, automated inspection at channels, monitoring over high-risk passengers, etc. With help of advanced machine learning and target tracking algorithm, it can achieve risk warning and interception for passengers and luggage by means of timely matching and real-time monitoring and inspections for suspected luggage and the corresponding passengers.

The system automatically acquires the X-ray data of luggage and identifies prohibited articles in luggage quickly and accurately by means of the target detection and identification algorithm and the prohibited article database comparison algorithm. Furthermore, it can acquire personal information of the suspected passengers according to the arrival data, departure data and luggage labels of airports and realize intelligent alarms and interception through the machine vision technology and the target tracking algorithm when the suspected passengers pass through customs inspection channels so that customs officers can handle the issues. It is simple, stable, convenient, compatible, extensible, etc.

Warning against prohibited articles and suspected passengers, ensuring timely interception;

Full-coverage inspections for inbound and outbound luggage, ensuring high accuracy and security;

Intelligent identification of prohibited articles, ensuring higher inspection automation and lower workload of staff;

Tracking of true data such as the pictures before open-luggage inspections and pictures of the exteriors of luggage with help of X-ray equipment, and support for queries and call of these data in a certain period;

Higher intelligence because of multiple types of information prompts, inspections through WEB platforms and mobile terminals, open-and-shut management and queries and tracking of the information of suspected articles whenever necessary;

Data sharing with and uploading to authorities of higher level by means of seamless connection with third-party software systems


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