The invention discloses a detection method of a lifting hook anti-falling device. The method comprises: obtaining an image sample set; constructing a single-stage target detection model for identifying a crane, a lifting hook and a lifting hook anti-falling device; deploying the lifting hook anti-falling device detection model into a camera of an operation site, and connecting the camera to a deployment platform; obtaining a to-be-detected image; and inputting the to-be-detected image into the lifting hook anti-falling device detection model to determine whether the lifting hook anti-falling device is detected or not, and the like. The method has the advantages that the accuracy of identifying and analyzing whether the lifting hook anti-disengaging device is installed or not can be remarkably improved in the lifting operation scene, abnormal conditions are found in time, and the safety supervision and inspection efficiency of lifting operation is improved. The small target identification accuracy is improved, and the detection accuracy of the lifting hook anti-falling device in the lifting operation is greatly improved. The detection range is wide by using the camera, the detection performance is improved by using the convolutional neural network with high accuracy and adding the selective visual attention mechanism module, and the real-time performance is good by using only one camera.

    一种吊钩防脱装置的检测方法。其包括获得图像样本集;构建用于识别吊车、吊钩、吊钩防脱装置的单阶段目标检测模型;将吊钩防脱装置检测模型部署到作业工地的摄像头中,并将摄像头连接到部署平台;获得待检测图像;将待检测图像输入吊钩防脱装置检测模型,以确定是否检测到吊钩防脱装置等步骤。本发明效果:可显著提升吊装作业场景下,吊钩防脱装置是否安装的识别分析准确性,及时发现异常情况,提升吊装作业安全监督巡检效率。提升小目标识别准确率,大幅提升吊装作业中吊钩防脱装置检测准确性。使用摄像头检测范围较广,使用准确度较高的卷积神经网络并且加入选择性视觉注意力机制模块来提高检测性能,只使用一个摄像头实时性较好。


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    Title :

    Detection method of lifting hook anti-falling device


    Additional title:

    一种吊钩防脱装置的检测方法


    Contributors:
    WANG ZHEN (author) / SHANG BAOQI (author) / WANG ZHONG (author) / LIU GUANCHEN (author) / SUN QIAN (author) / LI NA (author) / DONG FANG (author) / CHEN XIAOJIN (author) / NIU CHANGLIANG (author) / SHEN FEI (author)

    Publication date :

    2025-02-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06V / B66C Krane , CRANES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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