基于图像识别的高空抛物预警方法、装置及系统

By using an image recognition-based method for early warning of objects thrown from heights, and processing RTSP image streams with an improved 3DUNet model, real-time warning boxes for objects thrown from heights are generated. This solves the problem of identifying and warning of objects thrown from heights, improves processing efficiency, and reduces labor costs.

CN115205774BActive Publication Date: 2026-07-17UCLOUD TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UCLOUD TECH CO LTD
Filing Date
2022-05-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The current situation is that high-rise building littering incidents are difficult to be actively identified and alerted by ordinary cameras, resulting in difficulties in evidence collection, low processing efficiency, and high labor costs, which prevents large-scale implementation.

Method used

A high-altitude object throwing warning method based on image recognition is adopted. RTSP image streams are acquired through network cameras, and after image normalization processing, they are input into an improved 3DUNet model for inference. The probability value and location of objects thrown from high altitudes are output. Real-time warning boxes are generated using graphics operations and dynamically output in the RTSP image stream.

Benefits of technology

It enables the identification and early warning of objects thrown from high altitudes using ordinary cameras, improves identification accuracy, reduces manual intervention, and can achieve large-scale deployment without replacing older cameras.

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Abstract

本发明涉及图像识别技术领域,公开了一种基于图像识别的高空抛物预警方法、装置及系统。该方法包括:通过网络摄像机实时获取RTSP图像流;将RTSP图像流中的相邻两帧图像进行图像归一化处理,得到三维监控数据;将三维监控数据输入改进的3DUNet模型进行推理,输出与原图像尺寸相同的单通道图像以及各像素是否对应为高空抛物体的概率值;确定单通道图像中是否包含高空抛物体以及高空抛物体的位置区域;若包含高空抛物体,则生成高空抛物体的实时位置预警框、发送高空抛物预警信息并实时动态输出。本发明能在不替换旧款摄像头的基础上接入所有摄像头的视频影像,并对其附加人工智能分析算法,实现高空抛物预警。
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