EP3850360A1 - Systèmes et procédés d'identification électronique d'espèces végétales - Google Patents

Systèmes et procédés d'identification électronique d'espèces végétales

Info

Publication number
EP3850360A1
EP3850360A1 EP19861214.5A EP19861214A EP3850360A1 EP 3850360 A1 EP3850360 A1 EP 3850360A1 EP 19861214 A EP19861214 A EP 19861214A EP 3850360 A1 EP3850360 A1 EP 3850360A1
Authority
EP
European Patent Office
Prior art keywords
image
application
user
plant
applications
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP19861214.5A
Other languages
German (de)
English (en)
Inventor
Eric RALLS
Ivan Iliev
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Plantsnap Inc
Original Assignee
Plantsnap Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Plantsnap Inc filed Critical Plantsnap Inc
Publication of EP3850360A1 publication Critical patent/EP3850360A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes

Abstract

L'invention concerne un système qui comprend une application configurée pour utiliser un modèle de détection d'objet pour détecter et localiser une catégorie d'image dans des données d'image en temps réel, la détection et la localisation consistant à visualiser l'emplacement de la catégorie d'image dans une vue mise en évidence dans l'image à l'aide d'un affichage électronique, la détection et la localisation consistant à capturer une image des données d'image en tant qu'image pour la reconnaissance d'image. L'application est configurée pour fournir l'image à au moins une application s'exécutant sur un serveur distant, ladite application étant configurée pour traiter l'image pour identifier une espèce d'une plante apparaissant dans l'image, ladite application étant configurée pour fournir une identification de l'espèce à l'application, l'application étant configurée pour recevoir une instruction pour publier l'image et l'identification d'espèce.
EP19861214.5A 2018-09-12 2019-09-12 Systèmes et procédés d'identification électronique d'espèces végétales Withdrawn EP3850360A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862730395P 2018-09-12 2018-09-12
US201862782685P 2018-12-20 2018-12-20
PCT/US2019/050828 WO2020056148A1 (fr) 2018-09-12 2019-09-12 Systèmes et procédés d'identification électronique d'espèces végétales

Publications (1)

Publication Number Publication Date
EP3850360A1 true EP3850360A1 (fr) 2021-07-21

Family

ID=69777178

Family Applications (2)

Application Number Title Priority Date Filing Date
EP19861214.5A Withdrawn EP3850360A1 (fr) 2018-09-12 2019-09-12 Systèmes et procédés d'identification électronique d'espèces végétales
EP19860909.1A Withdrawn EP3850543A1 (fr) 2018-09-12 2019-09-12 Systèmes et procédés d'identification électronique d'espèces végétales

Family Applications After (1)

Application Number Title Priority Date Filing Date
EP19860909.1A Withdrawn EP3850543A1 (fr) 2018-09-12 2019-09-12 Systèmes et procédés d'identification électronique d'espèces végétales

Country Status (3)

Country Link
EP (2) EP3850360A1 (fr)
CA (2) CA3112556A1 (fr)
WO (2) WO2020056148A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111814862A (zh) * 2020-06-30 2020-10-23 平安国际智慧城市科技股份有限公司 果蔬识别方法及装置
CN115424125A (zh) * 2022-08-30 2022-12-02 北京字跳网络技术有限公司 媒体内容处理方法、装置、设备、可读存储介质及产品
CN117079140B (zh) * 2023-10-13 2024-01-23 金埔园林股份有限公司 一种景观植物种植管理方法

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8090198B2 (en) * 2005-03-25 2012-01-03 Mitsubishi Electric Corporation Image processing apparatus, image display apparatus, and image display method
US8375032B2 (en) * 2009-06-25 2013-02-12 University Of Tennessee Research Foundation Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
US9596398B2 (en) * 2011-09-02 2017-03-14 Microsoft Technology Licensing, Llc Automatic image capture
US9311531B2 (en) * 2013-03-13 2016-04-12 Kofax, Inc. Systems and methods for classifying objects in digital images captured using mobile devices
US9575995B2 (en) * 2013-05-01 2017-02-21 Cloudsight, Inc. Image processing methods
US10346465B2 (en) * 2013-12-20 2019-07-09 Qualcomm Incorporated Systems, methods, and apparatus for digital composition and/or retrieval
US10009549B2 (en) * 2014-02-28 2018-06-26 The Board Of Trustees Of The Leland Stanford Junior University Imaging providing ratio pixel intensity
US20160048934A1 (en) * 2014-09-26 2016-02-18 Real Data Guru, Inc. Property Scoring System & Method
US9881234B2 (en) * 2015-11-25 2018-01-30 Baidu Usa Llc. Systems and methods for end-to-end object detection
US9760806B1 (en) * 2016-05-11 2017-09-12 TCL Research America Inc. Method and system for vision-centric deep-learning-based road situation analysis
US10430662B2 (en) * 2016-09-21 2019-10-01 GumGum, Inc. Training machine learning models to detect objects in video data
CN108256568B (zh) * 2018-01-12 2021-10-01 宁夏智启连山科技有限公司 一种植物种类识别方法以及装置

Also Published As

Publication number Publication date
CA3112556A1 (fr) 2020-03-19
WO2020056148A1 (fr) 2020-03-19
CA3112540A1 (fr) 2020-03-19
EP3850543A1 (fr) 2021-07-21
WO2020056136A1 (fr) 2020-03-19

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