A Novel Information Fusion Method for Vision Perception and Location of Intelligent Industrial Robots

Abstract

An improved SURF (Speeded-Up Robust Feature） algorithm is proposed to deal with the time-consuming and low precision of positioning of industrial robot. Hessian matrix determinant is used to extract feature points from the target image and a multi-scale spatial pyramid is constructed. The location and scale value of feature points are determined by neighbourhood non-maximum suppression method. The direction of feature points is defined as directional feature descriptors by the binary robust independent elementary feature (BRIEF). The progressive sample consensus (PROSAC) is used to carry out second precise matching and remove mismatching points based on the Hamming distance. Then, an affine transformation model is established to describe the relationship between the template and target images. Centroid coordinates of the target can be obtained based on the affine transformation. Comparative tests were carried out to demonstrate that the proposed method can effectively improve the recognition rate and positioning accuracy of the industrial robots. The average time consuming is less than 0.2 s, the matching accuracy is 96 %, and the positioning error of the robot is less than 1.5 mm. Therefore, the proposed method has practical application importance.

New Approach for Fertiliser Size Assessment Using Contactless Scanning

“…The 3D morphological features, including size (length, width, thickness, volume, and surface area) and shape (elongation, flatness, and sphericity) can be evaluated using 2D morphological features [10,11]. The SURF and BRIEF algorithms are used for the identification and analysis of features [12].…”

Fault Diagnosis of Rotating Machine

“…Rotating machines have been used in a wide variety of industries, such as manufacturing tools [1][2][3][4][5][6][7], electric motors [8][9][10][11][12][13][14][15][16][17], wind turbines [18][19][20][21], aero-engines [22,23], mining machines [24][25][26][27], marine propulsions [28-31] and autonomous vehicles [32][33][34][35][36]. A tiny defect or a simple crack may result in severe damages to rotating machines [37].…”