The invention discloses a container truck loading and unloading operation positioning guide system based on vision, which comprises a digital camera, a rear-end control device, a signal trigger and an indication guide device, the digital camera is arranged on a cross beam above a field bridge crane, the rear-end control device is connected with the signal trigger, the digital camera is connected with the rear-end control device, and the indication guide device is connected with the signal trigger. And the rear-end control equipment is connected with the indication guiding equipment. According to the technical scheme, the container truck loading and unloading operation positioning and guiding system based on vision is manufactured, the overlook camera installed above the loading and unloading operation container truck is adopted, operation scene images are collected, the image inclination correction algorithm and the deep learning feature detection technology are combined, and on the basis of ensuring the visual field, the visual field is accurately detected. The camera mounting position is flexible, the system is slightly influenced by external environmental factors, data is visual, management is convenient, pixel-level detection and positioning are accurate, and the container truck for loading and unloading operation can be guided to accurately stop by combining operation mode recognition and self-adaptive decision positioning, so that the lifting appliance can accurately grab and release the container.

    本发明公开了一种基于视觉的集装箱卡车装卸作业定位引导系统,包括数字相机、后端控制设备、信号触发器和指示引导设备,数字相机安装在场桥吊上方横梁,后端控制设备与信号触发器连接,数字相机与后端控制设备连接,后端控制设备与指示引导设备连接。采用上述技术方案制成了一种基于视觉的集装箱卡车装卸作业定位引导系统,采用安装于装卸作业集装箱卡车上方的俯视相机,采集作业场景图像,结合图像倾斜矫正算法和深度学习特征检测技术,在保证视野的基础上,相机安装位置灵活,系统受外界环境因素影响小,数据直观,管理方便,像素级检测定位准确,能够结合作业模式识别,自适应决策定位,引导装卸作业集装箱卡车准确停靠,实现吊具准确抓放箱。


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    Titel :

    Vision-based container truck loading and unloading operation positioning and guiding system and method


    Weitere Titelangaben:

    一种基于视觉的集装箱卡车装卸作业定位引导系统和方法


    Beteiligte:
    SHI JINLI (Autor:in)

    Erscheinungsdatum :

    2023-06-23


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / B66C Krane , CRANES





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