Camera module multi-identifier identification method and camera module multi-identifier identification equipment

Abstract

A camera module multi-identifier identification method and a piece of camera module multi-identifier identification equipment are disclosed. The method comprises the steps of shooting an image of multiple identifiers, positioning the location of each identifier in the image, and identifying each identifier according to the location of each identifier. The equipment comprises a camera device and a data processing device. The camera device is in communication with the data processing device. The camera device shoots an image of multiple identifiers, and the data processing device identifies the multiple identifiers through the image.

Description

technical field [0001] The present invention relates to an identifier identification method and equipment, and further relates to a multi-identifier identification method of a camera module, which can complete the identification of multiple identifiers at one time. Background technique [0002] As the concept of big data is more and more widely used in different modern industries, all walks of life are paying more and more attention to storing different information, so as to provide people with big data resources that can be used later, with more complete and diverse method of analysis. Various identification codes that can be seen everywhere represent various types of information and provide the most direct way for people to obtain different information data. [0003] Similarly, in the fast-growing emerging industry of mobile phone camera modules, big data thinking is also widely used. Different products, different times, and different types of parameters are required to ...

AI Technical Summary

Problems solved by technology

[0006] refer to figure 1 , in the prior art, most of the ways to identify two-dimensional codes are manually identified one by one. For example, the staff scan and identify them one by one with a scanning gun. , it is easy for the staff to miss or misidentify during the identification process, so that the data information stored in the database is wrong, and even if such an error occurs, it is not easy to be found

[0007] In addition, the process of manual operation is obviously relatively low in efficiency, and the QR code on each camera module needs to be re-aligned and recognized, so it takes a long time

With the increase of labor costs, manufacturing enterprises are faced with huge labor costs, and the low-end production mode that relies on manual work is becoming less and less competitive. Therefore, basic operations such as QR code recognition urgently need to be passed. Machine automation as an alternative to

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