WO2023143702 - TERAHERTZ RADIATION BASED METHOD AND SYSTEM FOR IDENTIFICATION OF OBJECTS AND PREDICTION OF OBJECT CLASS
National phase entry:
Publication Number
WO/2023/143702
Publication Date
03.08.2023
International Application No.
PCT/EP2022/051677
International Filing Date
26.01.2022
Title **
[English]
TERAHERTZ RADIATION BASED METHOD AND SYSTEM FOR IDENTIFICATION OF OBJECTS AND PREDICTION OF OBJECT CLASS
[French]
PROCÉDÉ ET SYSTÈME BASÉS SUR UN RAYONNEMENT TÉRAHERTZ POUR L'IDENTIFICATION D'OBJETS ET LA PRÉDICTION DE CLASSE D'OBJETS
Applicants **
ROBERT BOSCH GMBH
Postfach 30 02 20
70442 Stuttgart, DE
Inventors
YAN, Wai
#10-04, 18 Sin Ming Walk, Bishan Park Condo.
Singapore 575569, SG
KANUPRIYA, Malhotra
,
NGO, Chi Trung
31 Fernvale RD
Singapur 797417, SG
TAN, Tian
,
MOOKHERJEE, Debosmit
,
MIYAJIMA, Masafumi
,
ANDALAM, Sidharta
Block 403, 11-311
Sing Meng Ave
Singapore 570403, SG
JEON, Jin Han
Cardiff Residence, 05-27
103 Cardiff Grove
Singapore 558962, SG
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| * | |
International Searching Authority |
EPO
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1101 | |
| EPO | Filing, Examination | 5307 | |
| Japan | Filing | 591 | |
| South Korea | Filing | 482 | |
| USA | Filing, Examination | 2710 |
Total: 10191 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
Aspects concern a method and system for classifying an object. The method includes receiving a power intensity heatmap image associated with the object, identifying at least one region of interest (ROI) on the power intensity heatmap image; extracting important features from the ROI used to differentiate between objects, and classifying the object based on the extracted features. Deep machine learning and/or artificial intelligence modules may be utilized for the identification of ROI, extracting of features, and/or the classification.[French]
Certains aspects de la présente invention concernent un procédé et un système pour la classification d'un objet. Le procédé comprend la réception d'une image de carte de densité de clics de puissance associée à l'objet, l'identification d'au moins une région d'intérêt (ROI) sur l'image de carte de densité de clics de puissance; l'extraction des caractéristiques importantes à partir de la région ROI utilisées pour différencier des objets, et la classification de l'objet sur la base des caractéristiques extraites. Des modules d'apprentissage automatique profond et/ou d'intelligence artificielle peuvent être utilisés pour l'identification de la région ROI, l'extraction de caractéristiques et/ou la classification.