Size detection and identification method for strip-shaped workpiece

Abstract

The invention relates to the technical field of visual detection, in particular to a size detection and identification method for a strip-shaped workpiece. The method comprises the following steps ofcarrying out image acquisition on the workpiece; performing a linear detection algorithm and a spot detection algorithm on acquired images, identifying and locating the workpiece, and identifying andmeasuring the length of the workpiece; judging the identified and measured length of the workpiece; and converting total number information of identifying and measuring the workpiece, total number information of judging qualified times, total number information of judging unqualified times and the corresponding identified and measured length information of the workpiece into readable data information to be output. The acquired images are subjected to multiple data acquisition and summarization, so that the follow-up operation is greatly facilitated; and meanwhile, summarization information canbe transmitted to a computer and exported as a table, so that processing conditions are clear to working personnel at a glance, the operations of modifying a processing scheme and the like can be quickly made according to the conditions, and the operation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of visual inspection, in particular to a method for detecting and identifying the size of a long workpiece. Background technique [0002] The feature of machine vision inspection is to improve the flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the process of mass industrial production, the efficiency and accuracy of using artificial vision to check product quality is low. , the use of machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing. Visual inspection is to use machines instead of human eyes for m...

AI Technical Summary

Problems solved by technology

[0003] As mentioned above, visual inspection has a huge market value. The core of the visual inspection system is not the hardware equipment but the algorithm steps, and the algorithm steps will vary depending on the requirements of the inspection results, product shape, working environment, and the technology of the designer or group. Factors such as capabilities vary widely. If the design of the core algorithm steps is lacking, it will affect the operating efficiency and quality of the entire set of visual inspection equipment. In the algorithm steps of the size of the magnetic door seal, most of the technical solutions on the market are expensive to use, and at the same time The algorithm steps are also relatively complicated, which is not conducive to the general technical staff's routine parameter change and other operation settings

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