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Use of computer vision to detect tangles in tangled objects

机译:使用计算机视觉检测缠结物体中的缠结

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Untangling of structures like ropes and wires by autonomous robots can be useful in areas such as personal robotics, industries and electrical wiring & repairing by robots. This problem can be tackled by using computer vision system in robot. This paper proposes a computer vision based method for analyzing visual data acquired from camera for perceiving the overlap of wires, ropes, hoses i.e. detecting tangles. Information obtained after processing image according to the proposed method comprises of position of tangles in tangled object and which wire passes over which wire. This information can then be used to guide robot to untangle wire/s. Given an image, preprocessing is done to remove noise. Then edges of wire are detected. After that, the image is divided into smaller blocks and each block is checked for wire overlap/s and finding other relevant information. TANGLED-100 dataset was introduced, which consists of images of tangled linear deformable objects. Method discussed in here was tested on the TANGLED-100 dataset. Accuracy achieved during experiments was found to be 74.9%. Robotic simulations were carried out to demonstrate the use of the proposed method in applications of robot. Proposed method is a general method that can be used by robots working in different situations.
机译:自主机器人解开绳索和电线之类的结构可能会在诸如个人机器人,工业以及机器人的电气布线和维修等领域中发挥作用。通过在机器人中使用计算机视觉系统可以解决此问题。本文提出了一种基于计算机视觉的方法,用于分析从相机获取的视觉数据,以感知钢丝,绳索,软管的重叠,即检测缠结。根据提出的方法处理图像后获得的信息包括缠结在缠结对象中的位置以及哪根导线经过哪根导线。然后,此信息可用于引导机器人解开导线。给定图像,进行预处理以去除噪声。然后检测导线的边缘。之后,将图像划分为较小的块,并检查每个块的导线重叠/秒并找到其他相关信息。引入了TANGLED-100数据集,该数据集包含缠结的线性可变形对象的图像。本文讨论的方法已在TANGLED-100数据集上进行了测试。实验期间获得的准确度为74.9%。进行了机器人仿真,以证明所提出的方法在机器人应用中的使用。提议的方法是一种通用方法,可用于在不同情况下工作的机器人。

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