WO2024209403 - SENSOR READING CORRECTION

National phase entry is expected:
Publication Number WO/2024/209403
Publication Date 10.10.2024
International Application No. PCT/IB2024/053319
International Filing Date 05.04.2024
Title **
[English] SENSOR READING CORRECTION
[French] CORRECTION DE LECTURE DE CAPTEUR
Applicants **
AQUATIC INFORMATICS ULC 1111 W. Georgia St #2400 Vancouver, British Columbia V6E 4M3, CA
Inventors
GOUGE, Brian Devin c/o Aquatic Informatics ULC 1111 W. Georgia St #2400 Vancouver, British Columbia V6E 4M3, CA
FARAHMAND, Touraj c/o Aquatic Informatics ULC 1111 W. Georgia St #2400 Vancouver, British Columbia V6E 4M3, CA
PATENAUDE, Jacob Edward c/o Aquatic Informatics ULC 1111 W. Georgia St #2400 Vancouver, British Columbia V6E 4M3, CA
LIMA, Aranildo Rodrigues c/o Aquatic Informatics ULC 1111 W. Georgia St #2400 Vancouver, British Columbia V6E 4M3, CA
Priority Data
18/132,320   07.04.2023   US
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Application details
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Entry into National Phase under
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Quotation for National Phase entry

Country StagesTotal
China Filing1665
EPO Filing, Examination10043
Japan Filing538
South Korea Filing575
USA Filing, Examination3835
MasterCard Visa

Total: 16656

The term for entry into the National Phase has expired. This quotation is for informational purposes only

Abstract[English] Disclosed are systems, methods, and devices for correcting or otherwise cleaning sensor data. Sensor readings and metadata or other information about the sensor readings can be collected, and one or more detection rules (e.g., machine learning models or other detection rules) can be automatically generated for modifying subsequent sensor data. Sensor readings can be refined or supplemented by applying applicable detection rules.[French] Sont divulgués des systèmes, des procédés et des dispositifs pour corriger ou autrement nettoyer des données de capteur. Des lectures de capteur et des métadonnées ou d'autres informations concernant les lectures de capteur peuvent être collectées, et une ou plusieurs règles de détection (par exemple, des modèles d'apprentissage automatique ou d'autres règles de détection) peuvent être automatiquement générées pour modifier des données de capteur ultérieures. Des lectures de capteur peuvent être affinées ou complétées par application de règles de détection applicables.
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