In garment manufacturing, an
automatic sewing machine is desirable to reduce cost. To accomplish
this, a high-speed vision system is required to track fabric motions and
recognize repetitive weave patterns with high accuracy, from a
microperspective near a sewing zone. In this letter, we present an
innovative framework for real-time texture tracking and weave pattern
recognition. Our framework includes a module for motion estimation using
blob detection and feature matching. It also includes a module for
lattice detection to facilitate the weave pattern recognition. Our
lattice-detection algorithm utilizes blob detection and template
matching to assess pair-wise similarity in blobs' appearance. In
addition, it extracts information of dominant orientations to obtain a
global constraint in the topology. By incorporating both constraints in
the appearance similarity and the global topology, the algorithm
determines a lattice that characterizes the topological structure of the
repetitive weave pattern, thus allowing for thread counting. In our
experiments, the proposed thread-based texture tracking system is
capable of tracking denim fabric with high accuracy (e.g., 0.03°
rotation and 0.02 weave-thread translation errors) and high speed (3
frames per second), demonstrating its high potential for automatic
real-time textile manufacturing.
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HIGH-SPEED permanent-magnet (PM) motors with abrushless direct current (BLDC) control scheme havefound wide applications in the industrial and domestic appliancedrive market in the past few decades, thanks to such advantagesas high efficiency, high power density, and high drive perfor-mance . Among the many applications are hard diskdrives , automotive fuel pumps , turbo-compressors, embroidery machines , etc. The rapid development ofBLDC motor drives has been in line with the advancement ofPM materials, power switching devices, and control techniques. To further improve the performance of BLDC drives, recentefforts have also been paid to the motor design and analysisby applying numerical techniques for accurate parameter pre-diction , phase variable model including the effect ofparameter variation, performance simulation consid-ering the real waveforms of back electromotive force (EMF), etc second hand tailoring machine in chennai, perambur, mylapore, madipakkam
In this paper, a PM BLDC motor is developed for drivinghigh-speed embroidery machines by employing various ad-vanced techniques. In order to accurately compute the keymotor parameters such as the air-gap flux, back EMF, andinductance, magnetic field finite-element analyses (FEAs) arecarried out. Based on the numerical magnetic field distribution,a modified incremental energy method is applied to effectivelycalculate the self and mutual inductances of the stator windings
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