Mobile phone support for OCR character recognition

Abstract

The invention belongs to the technical field of mobile phone supports, and particularly relates to a mobile phone support for OCR character recognition. The support comprises a bottom plate; the bottom plate is provided with a support column; the support column is provided with a first rotating shaft; the first rotating shaft is provided with a first rotating rod; the first rotating rod is provided with a first counterweight; the first rotating rod is provided with a second rotating shaft, and the second rotating shaft is provided with a second rotating rod. The second rotating rod is providedwith a second balance weight piece, the second rotating rod is provided with a mobile phone clamping mechanism, the supporting column is provided with a transverse plate, the transverse plate is provided with a rectangular sliding groove, the rectangular sliding groove is provided with a rectangular sliding rod, the rectangular sliding rod is provided with an upper limiting plate, the upper limiting plate is provided with a connecting piece, the connecting piece is provided with a rod piece, and the rod piece is provided with a screen touch piece. According to the mobile phone support, a mobile phone can be clamped at a high position and kept in a horizontal state, meanwhile, a user can conveniently touch a mobile phone screen to take pictures, the mobile phone screen can be continuouslytouched, multiple pieces of text data can be conveniently and continuously scanned, and in addition, when a mobile phone interface needs to be subjected to some operations, the mobile phone can be operated without being taken down.

Description

technical field [0001] The invention belongs to the technical field of mobile phone supports, and in particular relates to a mobile phone support for OCR character recognition. Background technique [0002] OCR (optical character recognition) character recognition refers to the process of electronic equipment (such as high-speed camera or scanner, etc.) checking the characters printed on paper, and then using character recognition to translate the shape into computer text; that is, scanning text data , and then analyze and process the image file to obtain text and layout information. [0003] In most office situations, electronic equipment related to OCR text recognition is used for office work, such as high-speed cameras or scanners. Although these devices can scan paper and recognize text, they all have a common disadvantage, which is high cost. , as few as a few hundred, as many as thousands or even tens of thousands, so some people will choose to use mobile phones for t...

AI Technical Summary

Problems solved by technology

[0003] In most office situations, electronic equipment related to OCR text recognition is used for office work, such as high-speed cameras or scanners. Although these devices can scan paper and recognize text, they all have a common disadvantage, which is high cost. , as few as a few hundred, as many as thousands or even tens of thousands, so some people will choose to use mobile phones for text recognition and scanning. Nowadays, a variety of OCR text recognition-related apps have been developed on mobile phones. The paper that needs text recognition is used for shooting, and the OCR text recognition APP can perform text recognition through the captured images. Since mobile phones are an essential communication tool for most office workers, text recognition through mobile phones will not incur high costs, although Mobile phone scanning and identification will not incur high costs, but when scanning the mobile phone, the user needs to use the arm to lift the mobile phone to a high place, and the mobile phone needs to be kept parallel to the text data. This posture is not only inconvenient for the user to touch the mobile phone screen to take pictures , and when scanning multiple text data, the user needs to switch the text data with one hand, and hold up the mobile phone to take pictures with the other hand, which is very inconvenient to use. Although the existing mobile phone holder can replace the user to hold the mobile phone, it is still inconvenient Touch the screen of the mobile phone to take pictures. In addition, during the scanning process, when the mobile phone interface needs to perform some operations, because the mobile phone is located at a high place, it is necessary to remove the mobile phone from the mobile phone holder, and then install the mobile phone after the operation is completed. Therefore, the existing The mobile phone holder is still inconvenient to use, and it is time-consuming and labor-intensive. To solve the above problems, we propose a mobile phone holder for OCR text recognition

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