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Quality control is a crucial issue in producing velcro, and defects existing in velcro can dramatically downgrade velcro level. Manual inspection can not meet the requirements of production efficiency, so an online feasible inspection method is referred to control the surface quality of the velcro. The original algorithm for the edge detection has been improved, and the flaws are extracted according to the first-order characteristic value. And these defects are classified according to the spectrum. Finally, the experiments have indicated that the various defects can be detected by proposed algorithm accurately, and the defects inspection method has been efficient and of great significance.