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Non-contact object material and shape recognition method, storage medium and computing device

A non-contact, recognition method technology, applied in the direction of character and pattern recognition, computing, computer parts, etc., to achieve the effect of improving recognition accuracy, reducing overhead, and simplifying classification

Active Publication Date: 2022-06-07
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] To sum up, the prior art methods have big or small problems in terms of application occasions, detection range, and cost.

Method used

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  • Non-contact object material and shape recognition method, storage medium and computing device
  • Non-contact object material and shape recognition method, storage medium and computing device
  • Non-contact object material and shape recognition method, storage medium and computing device

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Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0065] Various structural schematic diagrams according to the disclosed embodiments of the present invention are shown in the accompanying drawings. The figures are not to scale, some details have been exaggerated for clarity, and some details may have been omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are only exemplary, and in practice, there may be deviations d...

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PUM

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Abstract

The invention discloses a non-contact object material and shape recognition method, a storage medium and a computing device. The object to be tested is placed in a designated detection area of ​​a perception plane, and the ID and RSS of each tag in the process of RFID reader and tag communication are collected. Value and phase parameters to identify the shape and material of the item to be tested; perform similarity calculations, and determine the classification of the item to be tested according to the obtained results as seen items and unseen items; if it is an seen item, it will be collected Feature extraction of the received RSS and phase signals to obtain the optimal feature, identify the material and shape of the item to be tested; if it is an unseen item, find the text feature closest to the RF feature of the item to be tested in the latent space, The corresponding text with the highest similarity of text features is used as the recognition category of the item to be tested, and the material and shape of the item to be tested are identified. The invention has low cost, realizes cross-environment, simultaneously determines the shape and material of items, and identifies unseen items that do not exist in the training set.

Description

technical field [0001] The invention belongs to the technical field of radio frequency identification (RFID), and in particular relates to a non-contact article material and shape identification method, a storage medium and a computing device based on a passive RFID tag array. Background technique [0002] Today, object recognition systems are widely used in everyday life. In public scenes, such as factories, supermarkets, airports and subway stations, for the safety and security of the places, such as the classification and management of goods in factories, the registration and loading and unloading of goods in supermarkets, the identification of passengers in airports and subway stations, and the inspection facilities for dangerous goods Wait. Among them, the non-contact detection equipment of wireless perception has a very important position, but the current detection equipment still has some defects, and it is still a challenge to obtain the material and shape of the it...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K7/10G06V10/764G06V10/774G06V10/74G06V10/82G06N3/04G01B15/04G01N23/00
CPCG06K7/10366G01B15/04G01N23/00G06N3/045G06F18/213G06F18/22G06F18/241G06F18/214
Inventor 丁菡侯松江翟临威赵衰王鸽惠维赵鲲赵季中
Owner XI AN JIAOTONG UNIV
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