IL287575B2 - Systems of artificial intelligence for identifying conditions of interest and methods thereof - Google Patents

Systems of artificial intelligence for identifying conditions of interest and methods thereof

Info

Publication number
IL287575B2
IL287575B2 IL287575A IL28757521A IL287575B2 IL 287575 B2 IL287575 B2 IL 287575B2 IL 287575 A IL287575 A IL 287575A IL 28757521 A IL28757521 A IL 28757521A IL 287575 B2 IL287575 B2 IL 287575B2
Authority
IL
Israel
Prior art keywords
parameters
voi
law
obj
interest
Prior art date
Application number
IL287575A
Other languages
Hebrew (he)
Other versions
IL287575A (en
IL287575B1 (en
Inventor
Itzhak Levy
Original Assignee
Itzhak Levy
Levy Nadav
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 Itzhak Levy, Levy Nadav filed Critical Itzhak Levy
Priority to IL287575A priority Critical patent/IL287575B2/en
Publication of IL287575A publication Critical patent/IL287575A/en
Publication of IL287575B1 publication Critical patent/IL287575B1/en
Publication of IL287575B2 publication Critical patent/IL287575B2/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computational Linguistics (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Description

תוכרעמ לש הניב תיתוכאלמ תוטישו יוהיזל םיבצמ ילעב ןיינע

Claims (2)

1.8 2 / CLAIMS I claim: 1. A method of identifying, possibly alarming, when a condition of interest occurs or otherwise, might occur; said method characterized by steps selected from the following: a. providing in a database list of objects of interest (OOI (1...m)), defined by their Parameters (R-Ri)); further providing a list of one or more scenario of interest, A (1-a); b. defining primary, secondary...nth association-parameters (APOOIi(1-m)... AP(2...n)OOIi(1- m)) between at least one first and at least one second said objects of interest (OOI i(1- m); c. defining for each AP(2...n) OOI (1-m), maximal required n value (N); d. defining for each AP(N) OOI (1-m), relevancy value R (1...p), where p≥P indicates said AP(N) OOI (1...m) is significant for defining one or more conditions (C( 1-a)) as conditions of interest COIs (1-a); e. allocating one or more volumes of interest (VOIs) (VOI (1-o)) at one or more geographical locations, and assigning boundaries to each of said VOI; f. targeting one or more electromagnetic-radiation sensors (S (1-p)) towards said VOIs; g. by means of a processor, for each of said VOIs, defining one or more objects (VOI (1- o); Obj (q, q+1... q+i)(Tt)XY) by a specification, comprising inter alia parameters of time (T) resolved objects location (Obj (Tt)X:Y; and object’s shape parameter (Parameters(r-ri)Obj (q, q+1... q+i)(Tt); h. for each of said objects (VOI (1-o); Obj (q, q+1... q+i)(Tt)XY; Parameters (r-ri) (Tt)), by means of said processor AI, comparing each of said APn1st OOI i(1-m); Parameters (R-Ri) with said VOI (1-o)Obj (q, q+1... q+i)(Tt)XY; Parameters (r-ri) (Tt)); i. if APn1st OOI i(1-m); Parameters (R-Ri) is not similar VOI (1-o); Obj (q, q+1... q+i)(Tt)XY; Parameters (r-ri) (Tt)), then continue targeting of step (f); ii. if APn1st OOI i(1-m); Parameters (R-Ri) is similar VOI (1-o); Obj (q, q+1... q+i)(Tt)XY; Parameters(r-ri) (Tt)), then defining VOI (1-o); Obj (q, q+1... q+i)(Tt)XY as APVOI (1- o)Obj (q, q+1... q+i)(Tt)XY, and continue targeting of step (f); i. by means of said processor, for said VOI (1-o), looking for at least one AP(2..n.) VOI (1- o); Obj (q, q+1... q+i)(Tt)XY; Parameters (r-ri) (Tt)); 7575 8 2 / j. if 2...n 7575 8 2 / k. by means of said processor, for said VOI (1-o), looking for at least one AP(2... n+i) VOI (1-o); Obj (q, q+1... q+i)(Tt)XY; Parameters (r-ri) (Tt); if 2...n+i 7575 8 2 / least one second gestalt- oriented object by applying gestalt law of similarity, law of prägnanz (law of good figure or law of simplicity), law of proximity, law of continuity, law of closure, law of common sense, law of conciseness, law of Inclusiveness law of closure objects and/or law of common region. 4. A system for identifying, possibly alarming, when a condition of interest occurs or otherwise, might occur, operatable by applying method at least one step as defined in claim 1. 5. A system for identifying, possibly alarming, when a condition of interest occurs or otherwise, might occur, operatable by applying method at least one step as defined in claim
2. םשב םילעבה םיאיצממהו רד ' ליא רלסרב , וע " פ ועו " ד 'דש ןיבר קחצי 1 ת"פ 03-5765555
IL287575A 2021-10-25 2021-10-25 Systems of artificial intelligence for identifying conditions of interest and methods thereof IL287575B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
IL287575A IL287575B2 (en) 2021-10-25 2021-10-25 Systems of artificial intelligence for identifying conditions of interest and methods thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IL287575A IL287575B2 (en) 2021-10-25 2021-10-25 Systems of artificial intelligence for identifying conditions of interest and methods thereof

Publications (3)

Publication Number Publication Date
IL287575A IL287575A (en) 2021-12-01
IL287575B1 IL287575B1 (en) 2023-04-01
IL287575B2 true IL287575B2 (en) 2023-08-01

Family

ID=87103642

Family Applications (1)

Application Number Title Priority Date Filing Date
IL287575A IL287575B2 (en) 2021-10-25 2021-10-25 Systems of artificial intelligence for identifying conditions of interest and methods thereof

Country Status (1)

Country Link
IL (1) IL287575B2 (en)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10733436B2 (en) * 2017-03-24 2020-08-04 Numenta, Inc. Location processor for inferencing and learning based on sensorimotor input data

Also Published As

Publication number Publication date
IL287575A (en) 2021-12-01
IL287575B1 (en) 2023-04-01

Similar Documents

Publication Publication Date Title
CN113658325B (en) Intelligent identification and early warning method for uncertain objects of production line in digital twin environment
CN114489147B (en) Unmanned aerial vehicle cluster self-organizing region coverage method, device and equipment
CN108801254A (en) A kind of method for relocating and robot
IL287575B1 (en) Systems of artificial intelligence for identifying conditions of interest and methods thereof
Johansson et al. A comparison between two approaches to threat evaluation in an air defense scenario
CN115063117A (en) Project management method, system, equipment and medium based on artificial intelligence
CN109376466A (en) Spacecraft process knowledge modeling method based on ontology
CN105096733B (en) A kind of environmental characteristic based on grating map is represented with knowing method for distinguishing
CN115690351A (en) Object simulation display method and device, computer equipment and storage medium
CN115587579A (en) Digital processing system, production system and production method
GB2595629A (en) A method for detecting correspondence of a built structure with a designed structure
Azhmukhamedov et al. Management of information security risks in a context of uncertainty
Serakos et al. Linearized kappa guidance
CN114839979A (en) SRP-based multi-robot plume source-finding relative navigation strategy
CN113556380A (en) Edge distributed multi-copy processing method, device and medium of Internet of things equipment
CN113362005A (en) Intelligent inventory method and system for goods in unmanned warehouse based on environment perception
Seh-Taylor et al. Utilizing text analysis in systematic review design: Perceptual and cognitive barriers to adoption of robotic and automated systems in construction
CN116403163B (en) Method and device for identifying opening and closing states of handles of cut-off plug doors
Wang et al. A machine vision method for automatic circular parts detection based on optimization algorithm
CN117809440B (en) Tree obstacle mountain fire monitoring and early warning method and system applying three-dimensional ranging
CN115880101B (en) Water conservancy data management system based on big data
Pap et al. Modelling by fuzzy approach uncertainties in image analysis
CN112365124A (en) Intelligent construction site construction material rapid distribution working method
CN116793245B (en) Tunnel detection method, equipment and medium based on track robot
CN113935097B (en) Building space analysis method and system based on BIM engine data