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Sewing Machines are arranged dependent on their usefulness, and they have likewise been ordered relying upon their highlights like sewing, knitting and weaving.
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.
To design a fast and robust vision system for an automaticsewing machine, Booket al. proposed a prototype in whichthe concept of thread-count was first introduced. In the visionsystem, they used the Harris corner detection algorithm to detectcorner features and fabric translation, and two-dimensional(2-D)-fast Fourier transform (FFT) to track fabric angles.However, the FFT-based algorithm does not work well foraccurately estimating a small rotation angle (e.g., 0.1◦). In addi-tion, thread-count remains a concept, with no solution providedin their work. Recognizing fabric threads is closely related todiscovering texture regularity or granularity. In the literature,Liang and Weller detected granularity (i.e., the size of textureprimitives) for general texture with simple edge detection tech-niques.
