Engine connecting rod multi-code recognition method and automatic sorting equipment thereof

Abstract

The invention discloses an engine connecting rod multi-code recognition method and automatic sorting equipment thereof. The automatic sorting equipment comprises two recognition devices, a sorting body and a control device, wherein the two recognition devices comprise the first recognition device and the second recognition device, and the control device comprises a judging unit and an image collecting unit. The two recognition devices are arranged front and back in the horizontal direction. The recognition devices and the control device are connected in a communicating manner. The sorting bodyobtains a connecting rod to be sorted. The control device obtains a judgment result related to the connecting rod to be sorted. The sorting body sorts the connecting rod to be sorted according to thereceived judgment result.

Description

technical field [0001] The invention relates to an identification code identification method and automatic sorting equipment thereof, in particular to a code identification method suitable for engine connecting rods, which can be automatically sorted according to the identification result of an engine connecting rod. Background technique [0002] The physical size of the engine connecting rod is generally longer than twice the width, and the width is greater than twice the height. It is similar to a flat object. Since the shape of the engine connecting rod is very similar, but there are slight differences in size and structure, the manufacturer generally places the largest front and back on its surface Through mold technology, there are specific product codes and mold codes used to distinguish different types of connecting rods. These codes are identified in some ways, for example, the front code of a certain type of connecting rod is 3, and the reverse code is 5, except for ...

AI Technical Summary

Problems solved by technology

However, in order to meet the needs of the system to recognize images, the hardware performance and software configuration required by the computer require a higher configuration, which also leads to high purchase costs for the computer, and even if a high-cost computer is configured, it will not be able to recognize multiple images. When taking an image, because the captured picture is very large, the scanning route always traverses the entire image in turn from one feature to another on each frame to eliminate redundant information, extract key information to identify the image, and The recognized features are template-matched with the images in the database template one by one. Due to the large amount of calculation, the recognition speed is slow

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