Intelligent Hoisting Method and System of Prefabricated Building Based on Machine Vision

Ming-Wei Huang, Shanshan Li, Jia Liu, Jinfeng Chen
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引用次数: 0

Abstract

The intelligent hoisting method and system for prefabricated buildings based on machine vision can automatically control the operation of cranes or other lifting devices with the help of computer vision. This is done by using a camera connected to the crane control system, which can capture images from different angles and provide instructions to the operator. Then, the image processing algorithm is used to identify the objects in these images and decide how to deal with them. These decisions may include moving the object into place, stopping the movement, or even placing it in another location. The system can detect the position, weight and speed of each component or material in real time. This enables intelligent improvement to be performed with high accuracy and speed. It also reduces labor costs by eliminating manual handling tasks, such as lifting heavy objects over long distances. Traditional methods involve human operators who manually lift materials into position, which increases the risk of injury due to fatigue or repetitive strain injury (RSI).
基于机器视觉的装配式建筑智能吊装方法及系统
基于机器视觉的装配式建筑智能吊装方法和系统可以借助计算机视觉自动控制起重机或其他起重设备的运行。这是通过连接到起重机控制系统的摄像头来完成的,该系统可以从不同角度捕获图像,并向操作员提供指令。然后,使用图像处理算法来识别这些图像中的目标,并决定如何处理它们。这些决定可能包括将对象移动到适当的位置,停止移动,甚至将其放置在另一个位置。该系统可以实时检测每个部件或材料的位置、重量和速度。这使得智能改进能够以高精度和高速度进行。它还通过消除人工搬运任务(如长距离搬运重物)来降低劳动力成本。传统的方法涉及人工操作人员手动将材料抬起到位,这增加了由于疲劳或重复性劳损(RSI)而受伤的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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