Identification face recognition system and method

Abstract

The identification surface recognition system and method, including a CCD camera module, are characterized in that the identification surface identification system can be used for the identification of the identification surface of the parts of the high and low voltage switch dynamically conveyed on the transmission track; the identification surface identification system is included in The window setting module for determining the recognition area window within the camera range of the CCD camera module, the in-position detection module for determining the part entering the window setting module, the image processing module for performing Gaussian Laplacian edge recognition processing on the image in the recognition area and based on image processing The module outputs a recognition module for identifying the identification surface; the length and width of the identification area window are both smaller than the length and width of the identification surface of the part to be detected. It can effectively identify high-voltage and low-voltage switch parts, especially the efficiency and accuracy of identification of the front and back sides of electrical contacts, contacts, double gold and plates.

Description

technical field [0001] The present invention relates to a system and method for identifying the front and back marking surfaces of high and low voltage electrical parts, in particular to a high and low voltage switch part, especially the identification of the front and back sides of electrical contacts, contacts, double gold and boards systems and methods. Background technique [0002] At present, in the existing high and low voltage switches, such as circuit breakers, electromagnetic tripping in relays and double gold (bimetallic strips), yokes, contacts and contacts, contacts and contact plates, and coating materials in contact systems, Welding requirements must be welded in accordance with the technically specified front and back, positioning and positioning, and different manufacturers use different shapes and colors to distinguish the front and back for welding or assembly. At present, human eyes are used to identify the front and back, color, and shape of parts. The e...

AI Technical Summary

Problems solved by technology

At present, human eyes are used to identify the front and back, color, and shape of parts, and the error rate and defect rate remain high, the quality consistency is poor, and the production efficiency is low.

At present, mechanical touch detection, photoelectric color tracking switch detection and other devices are used for detection, but there are problems such as difficult installation and debugging, low detection accuracy, slow detection speed and unstable detection.

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