Book positioning and recognition method based on deep learning

A deep learning and recognition method technology, applied in the field of image recognition, can solve problems such as time-consuming, easy interference of labels, inaccurate positioning, etc., to achieve high inventory accuracy, shorten inventory time, and save costs.

Inactive Publication Date: 2021-04-20
上海书山智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although RFID greatly reduces the workload of staff taking inventory, it has many disadvantages. First, the cost of RFID tags is too high, because each book needs to be equipped with an RFID tag, and it takes a lot of time to label and input information. It is easy for tags to interfere with each other, so there are problems of inaccurate positioning and low recognition rate

Method used

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  • Book positioning and recognition method based on deep learning
  • Book positioning and recognition method based on deep learning

Examples

Experimental program
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Embodiment Construction

[0027] Such as figure 1 As shown, a book location and recognition method based on deep learning includes the following steps:

[0028] Step 1. Obtain the bookshelf image;

[0029] The bookshelf image is obtained by directly taking pictures of the bookshelf.

[0030] Step 2, identifying the location information of each book in the bookshelf image;

[0031] Specifically, the target recognition model is invoked to recognize the bookshelf image, and the image of the spine of each book and the location of the image of the spine are recognized.

[0032] Step 3, extracting the feature information of each book; searching for book information corresponding to the book feature information according to the book feature information.

[0033] Specifically, the feature extraction model is called to identify the image of the spine of each book, and the feature information of the book is extracted. The identified book feature information is searched in a preset database for book features ...

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PUM

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Abstract

The invention discloses a book positioning and recognition method based on deep learning, and the method comprises the following steps: 1, obtaining a bookshelf image; 2, identifying position information of each book in the bookshelf image; 3, extracting feature information of each book; and searching book information corresponding to the book feature information according to the book feature information. Books are checked by using an image recognition technology.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a book positioning and recognition method based on deep learning. Background technique [0002] The positioning and retrieval of books on the bookshelf plays an important role in the library information management system. In order to accurately locate the location and related information of books and facilitate the inventory of libraries, traditionally, RFID tags (such as patent 208172824U) are generally used to identify books. Although RFID greatly reduces the workload of staff taking inventory, it has many disadvantages. First, the cost of RFID tags is too high, because each book needs to be equipped with an RFID tag, and it takes a lot of time to label and input information. It is easy for tags to interfere with each other, so there are problems of inaccurate positioning and low recognition rate. In order to solve this problem and effectively reduce the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06N3/08
Inventor 张校捷
Owner 上海书山智能科技有限公司
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