Airport baggage detection method and device, storage medium and electronic equipment

By using camera equipment and object detection networks in airports to extract baggage attributes and environmental features, detecting the matching degree between video frames, and generating baggage location information, the problem of low accuracy in airport baggage detection is solved, and real-time location tracking of baggage in airports is realized.

CN119559574BActive Publication Date: 2026-06-05INSPUR SUZHOU INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INSPUR SUZHOU INTELLIGENT TECH CO LTD
Filing Date
2024-11-13
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies for airport baggage detection have low accuracy, especially when baggage tags are contaminated, damaged, or detached, making them difficult to identify. Furthermore, traditional RFID chip baggage tags are expensive and cannot solve the problem of baggage tags falling off.

Method used

Baggage video data is collected by camera equipment, and the attribute features and environmental features of the baggage are extracted using an object detection network. The matching degree between video frames is detected to generate a description of the baggage's location in the airport.

Benefits of technology

It improves the accuracy of baggage inspection at airports, enables real-time tracking of baggage locations within the airport, and solves the problem of low accuracy in traditional methods.

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Abstract

Embodiments of the present application provide an airport luggage detection method and device, a storage medium and an electronic device, wherein the method comprises: extracting target video frames and reference video frames from target video data collected by a connected target camera device; detecting whether there is luggage in the target video frames and whether there is luggage in the reference video frames; in the case where it is detected that there is target luggage in the target video frames, extracting target attribute features of the target luggage and target environment features of the target luggage from the target video frames; and in the case where it is detected that there is reference luggage in the reference video frames, extracting reference attribute features of the reference luggage and reference environment features of the reference luggage from the reference video frames; detecting a target matching degree between the target luggage and the reference luggage; and generating target description information of the target luggage. Through the present application, the problem of low accuracy of airport luggage detection is solved, thereby achieving the effect of improving the accuracy of airport luggage detection.
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