Flood-Fill and SVM-based RFID multi-tag three-dimensional optimal distribution detection method

A RFID tag, optimal distribution technology, applied in the direction of collaborative devices, instruments, computer components, etc., can solve problems such as missing or misreading, multi-tag collision, etc.

Inactive Publication Date: 2017-05-31
江苏省质量和标准化研究院
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AI Technical Summary

Problems solved by technology

If the distribution of RFID tags is unreasonable, there will be missed readings or misreadings, or even multi-tag collisions, the advantages of RFID multi-target simultaneous identification will no longer exist

Method used

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  • Flood-Fill and SVM-based RFID multi-tag three-dimensional optimal distribution detection method
  • Flood-Fill and SVM-based RFID multi-tag three-dimensional optimal distribution detection method
  • Flood-Fill and SVM-based RFID multi-tag three-dimensional optimal distribution detection method

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Embodiment Construction

[0029] A kind of RFID multi-label three-dimensional optimal distribution detection method based on Flood-Fill and SVM, comprising the following steps:

[0030] The first step: test platform construction steps, the test platform consists of 1-RFID reader antenna, 2-RFID reader, 3-lift platform, 4-RFID label, 5-carton, 6-camera, 7-camera bracket, 8-tray, 9-control computer, 10-rail, 11-motor, 1-RFID reader antenna connected to 2-RFID reader, 2-RFID reader connected to 9-control computer, 6-camera Place it on the 7-camera bracket and align it with the 5-carton with the 4-RFID label. The 1-RFID reader antenna is placed above the 3-lifting platform. Adjust the 3-lifting platform so that the 1-RFID reader antenna The radiation direction is facing the 4-RFID tag, such as figure 1 shown;

[0031] The second step: the carton outline extraction step, place the carton on the pallet, and paste four RFID tags on the four sides of the carton respectively. During the rotation of the pallet...

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Abstract

The invention relates to the technical field of RFID, in particular to the field of RFID multi-tag distribution configuration, and belongs to the technical field of detection; and especially Flood-Fill and an SVM neural network are introduced for predicting RFID tag distribution to obtain optimal configuration. The invention provides a Flood-Fill and SVM-based RFID multi-tag three-dimensional optimal distribution detection method. RFID tags on the surface of cartons are subjected to position extraction through the Flood-Fill, and reading distances corresponding to RFID multi-tag positions are trained through the SVM neural network, so that the RFID multi-tag positions under the specific reading distances are predicted, the RFID tag distribution with optimal reading performance is found, and the influence of an actual working environment on the reading performance is reduced from the perspective of RFID tag distribution optimization configuration. The method can effectively improve the reading performance of the RFID tags and has important theoretical and application values for RFID technology development.

Description

technical field [0001] The present invention relates to the field of RFID technology application, specifically to the field of RFID multi-label distribution configuration, especially the introduction of Flood-Fill for image processing and extraction of RFID tag attachment carriers, and at the same time, the introduction of SVM for optimal configuration of RFID tag distribution, which belongs to the field of detection technology . Background technique [0002] Radio Frequency Identification (RFID), as a novel non-contact automatic identification technology, has been widely used in many fields such as modern logistics, intelligent transportation, production automation, etc., especially in intelligent logistics, the information collection of goods in and out It is especially prominent in the application of goods inventory. An important advantage of RFID technology is the simultaneous identification of multiple targets, but in order to achieve simultaneous identification of mul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K17/00
CPCG06K17/0022
Inventor 俞晓磊于银山汪东华钱坤庄笑周昱军孙耀东赵志敏
Owner 江苏省质量和标准化研究院
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