Online testing and labeling device for surface defect

Abstract

The invention discloses an online and labeling device for a surface defect. The online testing and labeling device for the surface detect comprises a base plate, a winding bracket, an idler, a driving wheel bracket, a corner seat, a paper pressing wheel seat, an unwinding socket, a phototube, a paper pressing device, a labeling band, a stepper motor, a reducing motor, a reducing motor seat, a stepper motor seat and the like, wherein a signal receiving device used for receiving an operation signal transmitted from a testing host is arranged on the stepper motor; and the signal receiving device starts the stepper motor and drives each component of the labeling device to operate by receiving an operation command transmitted from the testing host, so that labeling operations can be finished accurately. The online testing and labeling deice for the surface defect has a small volume, light weight, and high labeling accuracy, and can be used for effectively preventing external noise and clutter interferences, and realizing continuous or discontinuous label paper labeling; therefore, the online testing and labeling device for the surface defect is particularly suitable to be used for labeling operations of online testing of the surface defect on a production line.

Description

technical field [0001] The invention relates to a labeling device, which is mainly used for automatic labeling of defective products on a production line so as to identify unqualified products. It belongs to the technical field of mechanical manufacturing. Background technique [0002] In order to improve product quality, some detection devices are usually installed on the product production line to detect possible defects in the product, but if the defects are detected, how to remove these defective unqualified products? The traditional method is to distinguish with naked eyes, and adopt the method of pasting marks manually. The biggest disadvantage of this traditional method of distinguishing with naked eyes and manually pasting marks is: poor discrimination accuracy, low efficiency, and sometimes missing stickers. Even the products that use photoelectric identification and mechanical labeling in foreign countries currently have shortcomings such as heavy weight, slow la...

AI Technical Summary

Problems solved by technology

The biggest disadvantages of the traditional method of distinguishing with the naked eye and pasting by hand are: poor discrimination accuracy, low efficiency, and sometimes missing stickers.

Even the

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