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FindFace: Technology, History, Applications & Companies

FindFace is a face recognition technology developed by the Russian company NtechLab that specializes in neural network tools. The company provides a line of services for the state and various business sectors based on FindFace algorithm. Previously, the technology was used as a web service that helped to find people on the VK social network using their…

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FindFace topic overview

The analysis highlights Technology, History, Applications and Companies as prominent areas in the source structure around FindFace.

Related topics
26
Source areas
6
Connected nodes
32
Extracted relationships
21
Concept neighborhoods
17
Bridge connections
32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Technology · 9 topics
Controversial use · 6 topics
Application cases · 4 topics
Overview · 4 topics
History · 2 topics
Developers · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Owner
Ntech Lab Ltd
Available in
Russian, English
Created by
Artem Kukharenko, Alexander Kabakov, Maxim Perlin
Current status
active
Launched
2016; 10 years ago (2016)
Registration
Optional

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Technology

History

Application cases

Developers

Controversial use

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How FindFace connects Entity context

The extracted context around FindFace shows recurring relationship patterns in the source. For example, FindFace → Belarus, Dvach, Global Voices, In, NTechLab, Russian, These Another extracted example is FindFace → Alfa Future People, In, In June, NtechLab, Participation. Use these groups to spot repeated connection types before inspecting the individual relationships.

FindFace

Top relations

related to Controversial use · 7
FindFace → Belarus, Dvach, Global Voices, In, NTechLab, Russian, These
related to Application cases · 5
FindFace → Alfa Future People, In, In June, NtechLab, Participation
Available in · 1
FindFace → Russian, English
Created by · 1
FindFace → Artem Kukharenko, Alexander Kabakov, Maxim Perlin
Current status · 1
FindFace → active
Launched · 1
FindFace → 2016; 10 years ago (2016)
Owner · 1
FindFace → Ntech Lab Ltd
Registration · 1
FindFace → Optional
Type of site · 1
FindFace → Social networking service
URL · 1
FindFace → findface.pro

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

ntechlab technology recognition algorithm service 2018 2016 russian company network social people application organized vk artem kukharenko won facial 2017

FindFace relationships Subject–Predicate–Object triples

TTTA extracted 21 structured relationships around FindFace. Examples in this analysis include FindFace → Available in → Russian, English and FindFace → Created by → Artem Kukharenko, Alexander Kabakov, Maxim Perlin. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FindFaceAvailable inRussian, English1.00infobox
FindFaceCreated byArtem Kukharenko, Alexander Kabakov, Maxim Perlin1.00infobox
FindFaceCurrent statusactive1.00infobox
FindFaceLaunched2016; 10 years ago (2016)1.00infobox
FindFaceOwnerNtech Lab Ltd1.00infobox
FindFaceRegistrationOptional1.00infobox
FindFaceType of siteSocial networking service1.00infobox
FindFaceURLfindface.pro1.00infobox
FindFaceis aface recognition technology developed by the Russian company NtechLab that specializes in neural network tools0.90text
FindFacerelated to Application casesIn0.60section
FindFacerelated to Application casesNtechLab0.60section
FindFacerelated to Application casesIn June0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around FindFace bring nearby vocabulary together. In this analysis, examples include Algorithm, Application and Network. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • FindFace
    • Algorithm
    • Application
    • Network
    • Russian
    • Recognition
    • Also
    • Challenge
    • State
    • University
    • Use
    • Technology
    • Won
  • findface
    • Algorithm
    • Application
    • Network
    • Russian
    • Recognition
    • Also
    • Challenge
    • State
    • University
    • Use
    • Technology
    • Won
  • the social network
    • Photos
    • Using
    • Vk
    • People
    • Social
    • Technology
    • Find
    • Service
    • Use
    • Application
    • Recognition
    • Accuracy
  • technology
    • Social
    • Service
    • Photos
    • Using
    • People
    • Accuracy
    • Find
    • Use
    • Vk
    • Application
    • Won
    • Organized
  • web service
    • Social
    • People
    • Photos
    • Using
    • Technology
    • Alexander
    • Find
    • Kabakov
    • University
    • Use
    • Vk
    • Application
  • application cases
    • Identify
    • Use
    • Findface
    • People
    • Social
    • Service
    • Ntechlab
    • Alexander
    • Also
    • Challenge
    • Kabakov
    • Photos
  • face recognition
    • Facial
    • Algorithm
    • Recognition
    • Technology
    • Accuracy
    • Ntechlab
    • Competition
    • System
    • Video
    • Won
    • Network
    • Organized
  • facial recognition
    • Facial
    • Recognition
    • Algorithm
    • Accuracy
    • Technology
    • Ntechlab
    • Competition
    • Won
    • Network
    • Organized
    • Vk
    • Also

Connections between topic areas Semantic bridges

For FindFace, one of the stronger structural bridges in this analysis connects FindFace with Technology. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
FindFace — Technology · splits 23 ⟂ 10
FindFace — Controversial use · splits 26 ⟂ 7
FindFace — Overview · splits 28 ⟂ 5
FindFace — Application cases · splits 28 ⟂ 5
FindFace — History · splits 30 ⟂ 3

Map overview Semantic statistics

FindFace

Nodes33
Edges32
Triples21
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around FindFace to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — FindFace · EN edition · Analysis: TopicsToTalkAbout

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