Method for identifying numbers, symbols and letter groups of non-specific fonts

Abstract

The invention provides a method for identifying numbers, symbols and letter groups of non-specific fonts. The method comprises the following steps: an information acquisition module, a graphic analysis module, a graphic sampling module, a graphic prediction module, a model comparison module, a character comparison module and a model updating module. According to the method for identifying numbers,symbols and letter groups of non-specific fonts, a scanning head or a camera of a PDA used in industrial operation is used; numbers, symbols, letters and combinations thereof of non-specific fonts are collected and identified in PDAs, so that all PDAs used in the current industrial environment can quickly and accurately collect a group of numbers, symbols, letters or combinations thereof of various fonts through a bar code scanning head of the PDAs without networking.

Description

technical field [0001] The invention belongs to the technical field of industrial environment information collection and identification, and in particular relates to a method, device and storage medium for identifying numbers, symbols and letter groups in non-specific fonts based on demand response. Background technique [0002] In the current industrial environment, it is necessary to collect a group of numbers, symbols, letters or their combinations (but not barcodes) in various fonts as the number of commodities or parts and upload them to the management and traceability system. In the field of collecting and identifying numbers, symbols, letters and their combinations through the scanning head or camera of the intelligent terminal (hereinafter referred to as PDA) used in industrial operations, there are currently three technologies on the market: [0003] 1. The industrial PDA of the "KEYENCE" brand can collect and identify numbers, symbols, letters and their combination...

AI Technical Summary

Problems solved by technology

[0007] The "KEYENCE" brand canned the technology into the chip, and then implanted the chip into the device. If you want to obtain the acquisition and identification function, you can only buy a hardware PDA, and other wide-ranging various brands of PDA cannot be used. the function

[0008] In addition, for the "KEYENCE" device itself, because the function is realized by packaging the hardware chip, it cannot be upgraded and optimized on the current device, and the old version of the device can only be scrapped to buy a new generation of products , which results in a huge waste of

[0009] The barcode scanning heads of other brands of industrial PDA equipment can only collect and recognize a set of numbers, symbols, letters or their combinations called OCR fonts, but cannot recognize the above-mentioned combinations of other fonts, and the usable range in practical applications is very narrow.

[0010] The industrial PDA barcode scanning head collects the numbers, symbols, letters and combinations of various non-specific fonts that need to be recognized, uploads them to the cloud server on the Internet, and outputs the recognition results through the graphic recognition engine + AI big data graphic analysis in the server Technology, the defect of this identification method is that it needs to connect to the Internet when working, relies on the Internet and cloud servers, and needs artificial intelligence and big data AI technology. It cannot work in a network-free environment, and the unstable network signal directly affects the performance of the system.

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