Image information transmission method and system of low-altitude inspection unmanned aerial vehicle

By using intelligent recognition models and region segmentation technology, UAV images are preprocessed and inferred. Combined with gimbal attitude adjustment and optical zoom, the problems of data redundancy and insufficient accuracy in UAV image transmission are solved, achieving efficient and accurate image transmission and acquisition.

CN122391935APending Publication Date: 2026-07-14ANHUI SHANGYUAN PLANNING CONSULTING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANHUI SHANGYUAN PLANNING CONSULTING CO LTD
Filing Date
2026-06-08
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing drone image acquisition and transmission solutions suffer from problems such as large image data redundancy, channel congestion, increased data transmission latency, high packet loss rate, insufficient image accuracy, and lack of intelligent identification and layering mechanisms, which cannot meet the needs of modern urban intelligent inspection and management.

Method used

An intelligent recognition model is used to perform preprocessing and inference operations on images, perform region segmentation and differentiation processing, and combine gimbal attitude adjustment and optical zoom to achieve accurate image recognition and region segmentation. Images of key areas are transmitted through high-speed channels, invalid images are eliminated, and multiple acquisitions and screenings are performed.

Benefits of technology

It achieves accurate image recognition and efficient transmission, reduces data volume, avoids channel congestion and delay, and improves image acquisition efficiency and accuracy, making it suitable for urban governance scenarios such as municipal projects, construction sites, and river channels.

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Abstract

The application discloses a kind of low-altitude patrol unmanned plane's image information transmission method and system, it is related to unmanned plane image transmission technical field;Including: obtaining the image that low-altitude patrol unmanned plane real-time collection, and pre-processing is executed to image, and the real-time inspection image of standard specification is obtained;Based on the intelligent identification model constructed in advance, inference operation is executed to real-time inspection image, and the data set containing the matching result of inspection object, image coordinate set, inspection object pixel matching degree and label and semantic mask data is obtained;Its technical key points are: using intelligent identification model to analyze image features pixel by pixel, process image data, this way can accurately identify inspection object, facilitate subsequent targeted processing of image containing inspection object, effectively avoid the problem that image details are lost due to uniform processing of image, need secondary collection, while facilitating subsequent analysis and identification, greatly reduce the data volume of subsequent image processing, with good use prospect.
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