Category Archives: Neurotechnology

Grand Market AnalyticsRecently announced GlobalFacial RecognitionMarket Report is an objective and in-depth study of the current state aimed at the major drivers, market strategies, and key players growth. The study also involves the important Achievements of the market, Research & Development, new product launch, product responses and regional growth of the leading competitors operating in the market on a universal and local scale. The structured analysis contains graphical as well as a diagrammatic representation of worldwide Facial RecognitionMarket with its specific geographical regions including following key players Aware (United States), NEC (Japan), Animetrics (United States), KeyLemon S.A. (Switzerland), Gemalto (Netherlands), Panasonic Corporation (Japan), Ayonix Face Technologies (Japan), Cognitec Systems GmbH (Germany), NVISO SA (Switzerland), Daon (United States), StereoVision Imaging (United States), id3 Technologies (France), IDEMIA (France), Neurotechnology (Lithuania), MEGVII (China), Techno Brain (Kenya), Innovatrics (Slovakia).

[Due to the pandemic, we have included a special section on the Impact of COVID 19 on Facial RecognitionMarket which would mention How the Covid-19 is Affecting the Global Facial Recognition Market

DOWNLOAD INSTANT SAMPLE [emailprotected]grandmarketanalytics.com/Request-For-Sample-Report?/Global-Facial-Recognition-Market&id=1213897

Report Overview:

TheGlobal Facial Recognition Marketreport comprises a brief introduction of the competitive landscape and geographic segmentation, innovation, future developments, and a list of tables and figures. Competitive landscape analysis provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, and revenue, market share, price, production sites and facilities, SWOT analysis, product launch. The next section focuses on industry trends where market drivers and top market trends are shed light upon. The report offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the Facial Recognition Industry. This report investigates market-based on its market fragments, chief geologies, and current market patterns.

Geographical Analysisfor Global Facial Recognition Market:

North America: United States, Canada, and Mexico.

South & Central America: Argentina, Chile, and Brazil.

Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.

Europe: UK, France, Italy, Germany, Spain, and Russia.

Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.

Market Analysis by Types:[Type]

Market Analysis by Applications:[Application]

Customize and share your interest to check feasibility @grandmarketanalytics.com/Reports-Description-And-Details?/1213897-Global-Facial-Recognition-Market&id=1213897

The report throws light on Global Facial Recognition Market factors such as drivers, opportunities, and restrictions. The report identifies the high growth areas as well as the growth factors which are helping in leading the segments. The study covers down-stream and upstream value chain analysis, technical trends, and porters five forces analysis. The report also provides company rank with respect to revenue, profit comparison, cost competitiveness, market capitalization, companys growth, and market value chain.

The Key Areas That Have Been Focused On the Report:

The report offers a superior view of various factors driving or constraining the development of the Global Facial Recognition Market. Moreover, it offers an outline of each market segment such as end-user, product type, application, and region. The company profile includes analysis of product portfolio, revenue, SWOT analysis, porter analysis, and the latest developments of the company. The report pays attention to the production, revenue, price, and gross margin in markets of different regions.

Share your ballpark for this project at @grandmarketanalytics.com/Check-Discount-On-Report?/Global-Facial-Recognition-Market&id=1213897

About Author:Grand Market Analytics global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the Accurate Forecast in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their Goals & Objectives.

Contact Us:GRAND MARKET ANALYTICSJenish Gajjar (Head of Business Development)Phone:+1 (925) 478-7203Email:[emailprotected]

https://neighborwebsj.com/

See the original post:

Facial Recognition Market to Witness Huge Growth by 2028 | Aware (United States), NEC (Japan), Animetrics (United States) - NeighborWebSJ

The global Facial Recognition market report is a brief study on the aspects significant for the decision-makers in the Facial Recognition market such as investors, manufacturers, retailers, and producers. The influencing factors such as global market share, sales analysis, competitive landscape, regional and country-level market estimates, impact of national and global investors, value chain optimization techniques, trade regulations, recent evolutions, opportunities analysis, strategic market growth analysis, product line, marketplace expansion, and implementation of modern technologies.

The main reason for providing the research report is to give integral details of the global Facial Recognition marketers to new and established investors, producers, retailers, manufacturers.

Request a sample before buying this report: https://www.adroitmarketresearch.com/contacts/request-sample/908?utm_source=BH

A comprehensive review of the value of the Facial Recognition market at the international level, business level, as well as regional level, is included in the global Facial Recognition market report. Similarly, the research provides the Facial Recognition market size from a global perspective by analyzing historical pieces of evidence and future scenarios. Geographically, the research report on the Facial Recognition includes the key regions impacting the growth opportunities and sales of the Facial Recognition. The report focuses on the selling cost of goods and services from the sellers factory, operational capability, market share & revenue of global Facial Recognition market players. Similarly, this study covers primary and secondary drivers, leading markets, market share, drivers, and the Facial Recognition market geographical environment.

Manufacturers covered in this report are:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

Complete Summary with TOC Available @ https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market?utm_source=BH

This article also studies the key tactics implemented by service providers to achieve a business goal in comparison to other providers. Additionally, the study report focuses on a broad review of the business overview, along with market players practices such as alliances, merger & acquisition, deals, collaborations, and others, offering a detailed picture of their current competitive scenario.

Facial Recognition Market Segmentation

Type Analysis of Facial Recognition Market:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Applications Analysis of Facial Recognition Market:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

By Geographical Regions

Asia Pacific: China, Japan, India, and Rest of Asia Pacific Europe: Germany, the UK, France, and Rest of Europe North America: The US, Mexico, and Canada Latin America: Brazil and Rest of Latin America Middle East & Africa: GCC Countries and Rest of Middle East & Africa

The Facial Recognition Market Report Includes:- An overview of the market Comprehensive analysis of the market Analysis of the latest developments in the market Events in the market scenario in recent years Emerging market segments and regional markets Segmentation up to the second and / or third level Historical, current and estimated market size in terms of value and volume Competitive analysis with company overview, products, sales and strategies. Impartial evaluation of the market Strategic recommendations for increasing the market presence of companies

Competitive Landscape: Global Facial Recognition Market

The Facial Recognition market provides information about the competitive landscape of the competitors. A detailed analysis regarding company profiles, industry potential, corporate finances, revenue generated, new industry initiatives, manufacturing capabilities, global dominance, product establishment, strengths and weaknesses of the corrugated iron roofing market, research and development spending, money-making strategies and application control are also provided in the Managed Facial Recognition Market Report.

Primary Motives of the Report

Measuring the competitive landscape and distribution of the Facial Recognition market on a global level. Evaluating opportunities for product development, market penetration, market expansion, and diversification that are important in the Facial Recognition market and that can improve business performance and profit. Understanding the diverse causes or the influencers of the Facial Recognition market, irrespective of the socio-economic, behavioral, and environmental factors. Offering solutions and strategies that would be beneficial to minimize the risks of failure. Delivering growth plans beneficial to expand relevant business in the Facial Recognition market.

Scope of Market

Facial Recognition Market Report helps you make informed business decisions with complete understanding and in-depth analysis of market segments. It provides accurate analysis of the changing dynamics of competition and allows you to stay ahead of the competition. Analysis of the many growth opportunities in the keyword industry for stakeholders and a detailed description of the competitive landscape for high-level players. Key points related to market targeting keyword such as product definition, application range, revenue statistics, supply and demand statistics. Growth of the global keyword market in various regions such as North America, Europe, Asia Pacific, South America, the Middle East and Africa. Competitive analysis of the main competitors in the market, as well as analysis of the latest trends and business strategies used by various companies.

The key questions answered in this report:

1. What are the Trending Factors influencing the market shares?2. What are the Key Outcomes of Porters five forces model?3. Which are the Global Opportunities for Expanding the Facial Recognition Market?4. What will be the Market Size and Growth Rate in the forecast year?5. What are the Key Factors driving Facial Recognition Market?6. What are the Risks and Challenges in front of the market?7. Who are the Key Vendors in Facial Recognition Market?

Some Points from Table of Content

Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overviewChapter 2: Market Competition by ManufacturersChapter 3: Production by RegionsChapter 4: Consumption by RegionsChapter 5: Production, By Types, Revenue and Market share by TypesChapter 6: Consumption, By Applications, Market share (%) and Growth Rate by ApplicationsChapter 7: Complete profiling and analysis of ManufacturersChapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expensesChapter 9: Industrial Chain, Sourcing Strategy and Downstream BuyersChapter 10: Marketing Strategy Analysis, Distributors/TradersChapter 11: Market Effect Factors AnalysisChapter 12: Market ForecastChapter 13: Facial Recognition Research Findings and Conclusion, Appendix, methodology and data source.

For any queries get in touch with Industry Expert @ https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/908?utm_source=BH

About Us :

Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX75204, U.S.A.Phone No.: USA: +1 210-667-2421/ +91 9665341414

More here:

Facial Recognition Market Is Seeing Explosive Growth by Future Industry Winners: Forecast, 2021-2025 NeighborWebSJ - NeighborWebSJ

South side of Tianqiao and Chrissy Chen Neuroscience Research Building (Photo Caltech.edu)

By Kate Bartlett

The Tianqiao and Chrissy Chen Neuroscience Research Building (CNRB) was dedicated on January 29, 2021. Virtual attendees included more than 850 Caltech leaders, researchers, students, alumni and friends. The 150,000 square-foot luminous copper building contains research and teaching laboratories, a 150-seat lecture hall and a neurotechnology center in which grad students and postdocs can set up complicated experiments requiring system engineering, measurement of behavior,stimuli observation and new software. The expansive windows provide sunlight to the teaching and conference rooms, and the human-focused gathering spaces feature skylights and gardens.

The CNRB houses the Chen Institute of Neuroscience, as well as faculty and researchers from other disciplines; before the completion of the CNRB, neuroscience labs were located primarily in the Beckmann Behavioral Building, Kirchoff Building, Moore Building and Broad Institute. The open design between the second and third floors makes interaction easier and promotes imaginative research, according to David Anderson, Professor of Biology and Director of the Chen Institute.

The Tianqiao and Chrissy Chen Institute for Neuroscience at Caltech originally was born from a chance encounter with a news report on the ability to control a robotic arm using only a persons mind. Tianqiao Chan and his wife, Chrissy Luo, created the Institute to allow researchers to jumpstart new projects while the CNRB was under construction.

Caltech researchers probe the circuitry, cells and molecular, chemical and electrical pathways of the brain, pursue the neurological basis of personality, develop new brain imaging technique, map brain circuits, develop neurotechnology to treat brain disorders, investigate social cognition and emotions in humans, and quantify behaviors and correlate them to brain activity.

Viviana Gradinaru, professor of neuroscience and biological engineering and director the Center for Molecular and Cellular Neuroscience, said the Chen Institute is like a trampoline:

In science, we have to make leaps of faith. We have to jump high, and you jump much higher on a trampolineespecially one that has a safety net thats big enough and welcoming of others and other opinions. This is what the Chen family provided us.

Colorado Boulevard.net is your place for enlightening events, informative news and social living for the greater Pasadena area. We strive to inform, educate, and work together to make a better world for all of us, locally and globally.

See the original post:

Pasadena: Whats that Amazing Building on the Corner of Del Mar and Wilson? - coloradoboulevard.net

STOCKHOLM, Feb. 4, 2021 /PRNewswire/ -- Tobii, the world leader in eye tracking, today confirmed that it is engaging in research collaboration with Valve and OpenBCI by incorporating Tobii's eye tracking technology with elements of Valve's Index hardware to produce developer units for the recently announced Galea Beta Program.

"We are excited to work with Valve and OpenBCI to explore the future of immersive gaming by combining the power of Tobii eye tracking and OpenBCI's advanced brain computer interface technology," said Anand Srivatsa, Division CEO of Tobii Tech.

OpenBCI is an advanced technology company providing an open-source platform for applications related to brain computer interfacing (BCI). Valve, one of the most influential companies in the gaming industry, has long been a pioneering force for the evolution of immersive gaming, entertainment content delivery, and the advancement of virtual reality hardware and experiences.

Galea is a hardware and software platform that merges next-generation biometrics with mixed reality. It is the first device that integrates EEG, EMG, EOG, EDA, PPG, and image based eye-tracking into a single headset. The Galea Beta units will be built with elements from the Valve Index VR hardware.

Developers interested in using the OpenBCI Galea headset to explore how neurotechnology can bring about the next generation of immersive digital experiences are invited to visit OpenBCI's beta project website. Initial developer units are expected to ship in limited quantities to beta program participants in early 2022.

The VR market is poised to grow into several tens of million units in volumes over the next three to five years, which represents an attractive opportunity for Tobii.

Tobii does not consider this collaboration as an official design win at this stage.

Contact: Anders Lundin, Corporate Communications Manager, Tobii Group, phone: +46 (0)733 27 87 61, email: [emailprotected]

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/tobii-ab/r/tobii--valve--and-openbci-engaging-in-research-collaboration-to-make-vr-gaming-more-immersive,c3279537

The following files are available for download:

SOURCE Tobii AB

See the original post here:

Tobii, Valve, and OpenBCI Engaging in Research Collaboration to Make VR Gaming More Immersive - PRNewswire

Facial Recognition System Market Brief Analysis & Business Scenarios

The Dynamic Facial Recognition System market research centre of attention towards to theindustry drivers, manufacturers, competitive landscape which shed light upon product development, product capacity, regional analysis, market value & volume, pricing strategy and gains deep insights into the business development.

The dedicated research team conducted interviews with delegated industry experts to gain a comprehensive overview of the market. The report analyses the potential of the market with respect to the current scenario and future prospects by considering several industry aspects. And envelope the exclusive insight into the key trends affecting the industry, although key threats, opportunities and disruptive technologies that could shape the Global Facial Recognition System Market supply and demand.

Get a Sample Copy of the Report@

https://www.coherentmarketinsights.com/insight/request-sample/3069

The qualitative analysis included surveys and briefings by the news, magazine, papers, T.V., Radio, Seminar, Webinar, debate and from all media used to collect information. This provides a deeper understanding of the competitive landscape and its future scenarios, crucial dynamics, and leading segments.It also includes a detailed study of market drivers, growth prospects, market trends, R&D progress, product portfolio and market dynamics.

Major Key players In this Industry:3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain

The research report has incorporated the analysis of different factors that augment the markets growth. This section also provides the scope of different segments and applications that can potentially influence in the future. The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business strategies.

Get Discount Before Buying: (1000 USD Off Current Price,UseSTAYHOMEPromo Code):

https://www.coherentmarketinsights.com/insight/request-discount/3069

**Note: New Year Discount

** Please fill out the form above and we will get back to you within 24 hours.

The Features of the Report:-

The report evaluates the key factors of drivers, restraints, and opportunities.

The report contains detailed data concerning the dynamics, past results, and the current business aspect.

Emerging product trends & market opportunities.

Research information on key drivers and regional market dynamics and current trends in the industry.

Identification and analysis of micro and macro factors that are and will affect the growth of the market

Report Attribute

Details

Market size available for years

2021 2027

Base year considered

2020

Historical data

2015 2019

Forecast Period

2021 2027

Quantitative units

Revenue in USD million and CAGR from 2021 to 2027

Report Coverage

Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends

Regional Scope

North America, Europe, Asia Pacific, Latin America, Middle East and Africa

Geographic Analysis:

About Coherent Market Insights:-

Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity.

Contact Us:-

Name: Mr. Raj Shah

Phone: US +12067016702 / UK +4402081334027

Email: sales@coherentmarketinsights.com

Read the original:

What are the Facial Recognition System Market Segment, Application, Industry Overview and Innovative Technology 2021 to 2027 KSU | The Sentinel...

NextMind This story is part of CES, where our editors will bring you the latest news and the hottest gadgets of the entirely virtual CES 2021.

In my Oculus Quest VR headset, I was in a room surrounded by large-brained aliens. Their heads flashed, white and black. I turned to one, staring at it. Soon enough, its head exploded. I looked at the others, making their heads explode. Then I looked at a flashing portal marker across the room and was gone. I did this without eye tracking. A band on the back of my head was sensing my visual cortex with electrodes.

I felt like I was living some sort of real-life virtual version of the David Cronenberg film, Scanners. But in reality, I was trying a neural input device made by NextMind.

The NextMind band, or what it looks like from the side that rests against the back of your head.

Before holiday break, I received a large black box with a small package inside. A black disc, with a headband. The disc was covered in small rubber-footed pads. NextMind's $399 developer kit, announced a year ago at CES 2020, aims at something many companies are striving for: neural inputs. NextMind aims to read a brain's signals to track attention, control objects and maybe even more.

Now playing: Watch this: The future of mind-controlled tech is already here, sort...

14:21

It's hard to understand the real potential and possibilities of neural input technology. Also, many of the startups in this space are doing different things. CTRL-Labs, a neurotechnology company acquired by Facebook in 2019, developed an armband that could send hand and finger inputs. Another company, Mudra, is making a wristband for Apple Watch later this year that also senses neural inputs on the wrist.

I wore an early version of the Mudra Band a year ago, and experienced how it could interpret my finger's movements, and even roughly measure how much pressure I was applying when I squeezed my fingers. Even more weirdly, Mudra's tech can work when you aren't moving your fingers at all. The applications could include assisting people who don't even have hands, like a prosthetic wearable.

NextMind's ambitions look to follow a similar assistive-tech path, while also aiming for a world where neural devices could possibly help improve accuracy with physical inputs -- or combine with a world of other peripherals. Facebook's AR/VR head, Andrew Bosworth, sees neural input tech emerging at Facebook within three to five years, where it could end up being combined with wearable devices like smart glasses.

Attaching the NextMind device onto an Oculus Quest 2 headband.

My NextMind experience has been rough, but also mesmerizing. The dev kit has its own tutorial and included demos that can run on Windows or Mac, plus a Steam VR demo that I played back on the Oculus Quest with a USB-C cable. The compact Bluetooth plastic puck has a headband but can also unclip from that and attach directly onto the back of a VR headset strap with a little effort.

All of NextMind's experiences involve looking at large, subtly flashing areas of your screen, which can be "clicked" by focusing. Or staring. It was hard to tell how to make something activate, and I found myself trying to open my eyes more, or breathe, or concentrate. Eventually, sooner or later, the thing I was looking at would click. Out of a field of five or so on-screen flashing "buttons," this really did know what I was looking at. And again, there was no eye tracking involved at all, this just rested on the back of my head.

Did it make me feel uncomfortable? Uncertain? Oh, yes. And as my kid came in and saw me doing this, and I showed him what I was doing, he was as astonished as if I had performed a magic trick.

NextMind's dev kit isn't meant for consumer devices yet. The Mudra Band, while launching as an Apple Watch accessory via crowdfunding site Indiegogo, is also experimental. I have no doubt we'll see more technology like this. At this year's virtual CES, there was even a "neural mouse" glove that aimed to improve reaction times by sensing click inputs a hair faster than even the physical mouse could receive. I didn't try that glove, but the idea doesn't sound far off from what companies like NextMind are imagining, either.

Entertain your brain with the coolest news from streaming to superheroes, memes to video games.

Right now, neural inputs feel like an imperfect attempt at creating an input, like algorithms searching for a way to do something I'd probably just do with a keyboard, a mouse or touchscreen instead. But, that was how voice recognition felt, once. And hand tracking. Right now, NextMind's demos really do work. I'm just trying to imagine what happens next. Whatever it is, I hope more exploding heads won't be a part of it.

See original here:

Mind control comes to VR, letting me explode alien heads with a thought - CNET

Overview for Facial Recognition Market Helps in providing scope and definitions, Key Findings, Growth Drivers, and Various Dynamics.

Facial Recognition Market Data and Acquisition Research Study with Trends and Opportunities 2019-2024The study of Facial Recognition market is a compilation of the market of Facial Recognition broken down into its entirety on the basis of types, application, trends and opportunities, mergers and acquisitions, drivers and restraints, and a global outreach. The detailed study also offers a board interpretation of the Facial Recognition industry from a variety of data points that are collected through reputable and verified sources. Furthermore, the study sheds a lights on a market interpretations on a global scale which is further distributed through distribution channels, generated incomes sources and a marginalized market space where most trade occurs.

Along with a generalized market study, the report also consists of the risks that are often neglected when it comes to the Facial Recognition industry in a comprehensive manner. The study is also divided in an analytical space where the forecast is predicted through a primary and secondary research methodologies along with an in-house model.

Make Enquiry and Get Flat 40% Discount on This Report

Download PDF Sample of Facial Recognition Market report @ https://hongchunresearch.com/request-a-sample/120283

Key players in the global Facial Recognition market covered in Chapter 12:NvisoImagus Technology3M CompanyNECNeurotechnologyAyonixGemaltoFulcrum BiometricsKeylemonGoogleNetatmoSafranTechno BrainDaonLuxandAnimetricsAwareAurora Computer ServicesArcSoftHerta SecurityLathem TimeIdemiaFaceFirstCognitec SystemsXID Technologies

In Chapter 4 and 14.1, on the basis of types, the Facial Recognition market from 2015 to 2025 is primarily split into:2D Facial Recognition3D Facial RecognitionThermal Face Recognition

In Chapter 5 and 14.2, on the basis of applications, the Facial Recognition market from 2015 to 2025 covers:Emotion RecognitionAttendance Tracking and MonitoringAccess ControlLaw EnforcementOthers

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:North America (Covered in Chapter 7 and 14)United StatesCanadaMexicoEurope (Covered in Chapter 8 and 14)GermanyUKFranceItalySpainRussiaOthersAsia-Pacific (Covered in Chapter 9 and 14)ChinaJapanSouth KoreaAustraliaIndiaSoutheast AsiaOthersMiddle East and Africa (Covered in Chapter 10 and 14)Saudi ArabiaUAEEgyptNigeriaSouth AfricaOthersSouth America (Covered in Chapter 11 and 14)BrazilArgentinaColumbiaChileOthersRegional scope can be customized

For a global outreach, the Facial Recognition study also classifies the market into a global distribution where key market demographics are established based on the majority of the market share. The following markets that are often considered for establishing a global outreach are North America, Europe, Asia, and the Rest of the World. Depending on the study, the following markets are often interchanged, added, or excluded as certain markets only adhere to certain products and needs.

Here is a short glance at what the study actually encompasses:Study includes strategic developments, latest product launches, regional growth markers and mergers & acquisitionsRevenue, cost price, capacity & utilizations, import/export rates and market shareForecast predictions are generated from analytical data sources and calculated through a series of in-house processes.

However, based on requirements, this report could be customized for specific regions and countries.

Brief about Facial Recognition Market Report with [emailprotected]https://hongchunresearch.com/report/facial-recognition-market-size-2020-120283

Some Point of Table of Content:

Chapter One: Facial Recognition Introduction and Market Overview

Chapter Two: Executive Summary

Chapter Three: Industry Chain Analysis

Chapter Four: Global Facial Recognition Market, by Type

Chapter Five: Facial Recognition Market, by Application

Chapter Six: Global Facial Recognition Market Analysis by Regions

Chapter Seven: North America Facial Recognition Market Analysis by Countries

Chapter Eight: Europe Facial Recognition Market Analysis by Countries

Chapter Nine: Asia Pacific Facial Recognition Market Analysis by Countries

Chapter Ten: Middle East and Africa Facial Recognition Market Analysis by Countries

Chapter Eleven: South America Facial Recognition Market Analysis by Countries

Chapter Twelve: Competitive Landscape 12.1 Nviso 12.1.1 Nviso Basic Information 12.1.2 Facial Recognition Product Introduction 12.1.3 Nviso Production, Value, Price, Gross Margin 2015-2020 12.2 Imagus Technology 12.2.1 Imagus Technology Basic Information 12.2.2 Facial Recognition Product Introduction 12.2.3 Imagus Technology Production, Value, Price, Gross Margin 2015-2020 12.3 3M Company 12.3.1 3M Company Basic Information 12.3.2 Facial Recognition Product Introduction 12.3.3 3M Company Production, Value, Price, Gross Margin 2015-2020 12.4 NEC 12.4.1 NEC Basic Information 12.4.2 Facial Recognition Product Introduction 12.4.3 NEC Production, Value, Price, Gross Margin 2015-2020 12.5 Neurotechnology 12.5.1 Neurotechnology Basic Information 12.5.2 Facial Recognition Product Introduction 12.5.3 Neurotechnology Production, Value, Price, Gross Margin 2015-2020 12.6 Ayonix 12.6.1 Ayonix Basic Information 12.6.2 Facial Recognition Product Introduction 12.6.3 Ayonix Production, Value, Price, Gross Margin 2015-2020 12.7 Gemalto 12.7.1 Gemalto Basic Information 12.7.2 Facial Recognition Product Introduction 12.7.3 Gemalto Production, Value, Price, Gross Margin 2015-2020 12.8 Fulcrum Biometrics 12.8.1 Fulcrum Biometrics Basic Information 12.8.2 Facial Recognition Product Introduction 12.8.3 Fulcrum Biometrics Production, Value, Price, Gross Margin 2015-2020 12.9 Keylemon 12.9.1 Keylemon Basic Information 12.9.2 Facial Recognition Product Introduction 12.9.3 Keylemon Production, Value, Price, Gross Margin 2015-2020 12.10 Google 12.10.1 Google Basic Information 12.10.2 Facial Recognition Product Introduction 12.10.3 Google Production, Value, Price, Gross Margin 2015-2020 12.11 Netatmo 12.11.1 Netatmo Basic Information 12.11.2 Facial Recognition Product Introduction 12.11.3 Netatmo Production, Value, Price, Gross Margin 2015-2020 12.12 Safran 12.12.1 Safran Basic Information 12.12.2 Facial Recognition Product Introduction 12.12.3 Safran Production, Value, Price, Gross Margin 2015-2020 12.13 Techno Brain 12.13.1 Techno Brain Basic Information 12.13.2 Facial Recognition Product Introduction 12.13.3 Techno Brain Production, Value, Price, Gross Margin 2015-2020 12.14 Daon 12.14.1 Daon Basic Information 12.14.2 Facial Recognition Product Introduction 12.14.3 Daon Production, Value, Price, Gross Margin 2015-2020 12.15 Luxand 12.15.1 Luxand Basic Information 12.15.2 Facial Recognition Product Introduction 12.15.3 Luxand Production, Value, Price, Gross Margin 2015-2020 12.16 Animetrics 12.16.1 Animetrics Basic Information 12.16.2 Facial Recognition Product Introduction 12.16.3 Animetrics Production, Value, Price, Gross Margin 2015-2020 12.17 Aware 12.17.1 Aware Basic Information 12.17.2 Facial Recognition Product Introduction 12.17.3 Aware Production, Value, Price, Gross Margin 2015-2020 12.18 Aurora Computer Services 12.18.1 Aurora Computer Services Basic Information 12.18.2 Facial Recognition Product Introduction 12.18.3 Aurora Computer Services Production, Value, Price, Gross Margin 2015-2020 12.19 ArcSoft 12.19.1 ArcSoft Basic Information 12.19.2 Facial Recognition Product Introduction 12.19.3 ArcSoft Production, Value, Price, Gross Margin 2015-2020 12.20 Herta Security 12.20.1 Herta Security Basic Information 12.20.2 Facial Recognition Product Introduction 12.20.3 Herta Security Production, Value, Price, Gross Margin 2015-2020 12.21 Lathem Time 12.21.1 Lathem Time Basic Information 12.21.2 Facial Recognition Product Introduction 12.21.3 Lathem Time Production, Value, Price, Gross Margin 2015-2020 12.22 Idemia 12.22.1 Idemia Basic Information 12.22.2 Facial Recognition Product Introduction 12.22.3 Idemia Production, Value, Price, Gross Margin 2015-2020 12.23 FaceFirst 12.23.1 FaceFirst Basic Information 12.23.2 Facial Recognition Product Introduction 12.23.3 FaceFirst Production, Value, Price, Gross Margin 2015-2020 12.24 Cognitec Systems 12.24.1 Cognitec Systems Basic Information 12.24.2 Facial Recognition Product Introduction 12.24.3 Cognitec Systems Production, Value, Price, Gross Margin 2015-2020 12.25 XID Technologies 12.25.1 XID Technologies Basic Information 12.25.2 Facial Recognition Product Introduction 12.25.3 XID Technologies Production, Value, Price, Gross Margin 2015-2020

Chapter Thirteen: Industry Outlook continued

Check [emailprotected] https://hongchunresearch.com/check-discount/120283

List of tablesList of Tables and Figures Figure Product Picture of Facial Recognition Table Product Specification of Facial Recognition Table Facial Recognition Key Market Segments Table Key Players Facial Recognition Covered Figure Global Facial Recognition Market Size, 2015 2025 Table Different Types of Facial Recognition Figure Global Facial Recognition Value ($) Segment by Type from 2015-2020 Figure Global Facial Recognition Market Share by Types in 2019 Table Different Applications of Facial Recognition Figure Global Facial Recognition Value ($) Segment by Applications from 2015-2020 Figure Global Facial Recognition Market Share by Applications in 2019 Figure Global Facial Recognition Market Share by Regions in 2019 Figure North America Facial Recognition Production Value ($) and Growth Rate (2015-2020) Figure Europe Facial Recognition Production Value ($) and Growth Rate (2015-2020) Figure Asia Pacific Facial Recognition Production Value ($) and Growth Rate (2015-2020) Figure Middle East and Africa Facial Recognition Production Value ($) and Growth Rate (2015-2020) Figure South America Facial Recognition Production Value ($) and Growth Rate (2015-2020) Table Global COVID-19 Status and Economic Overview Figure Global COVID-19 Status Figure COVID-19 Comparison of Major Countries Figure Industry Chain Analysis of Facial Recognition Table Upstream Raw Material Suppliers of Facial Recognition with Contact Information Table Major Players Headquarters, and Service Area of Facial Recognition Figure Major Players Production Value Market Share of Facial Recognition in 2019 Table Major Players Facial Recognition Product Types in 2019 Figure Production Process of Facial Recognition Figure Manufacturing Cost Structure of Facial Recognition Figure Channel Status of Facial Recognition Table Major Distributors of Facial Recognition with Contact Information Table Major Downstream Buyers of Facial Recognition with Contact Information Table Global Facial Recognition Value ($) by Type (2015-2020) Table Global Facial Recognition Value Share by Type (2015-2020) Figure Global Facial Recognition Value Share by Type (2015-2020) Table Global Facial Recognition Production by Type (2015-2020) Table Global Facial Recognition Production Share by Type (2015-2020) Figure Global Facial Recognition Production Share by Type (2015-2020) Figure Global Facial Recognition Value ($) and Growth Rate of 2D Facial Recognition (2015-2020) Figure Global Facial Recognition Value ($) and Growth Rate of 3D Facial Recognition (2015-2020) Figure Global Facial Recognition Value ($) and Growth Rate of Thermal Face Recognition (2015-2020) Figure Global Facial Recognition Price by Type (2015-2020) Figure Downstream Market Overview Table Global Facial Recognition Consumption by Application (2015-2020) Table Global Facial Recognition Consumption Market Share by Application (2015-2020) Figure Global Facial Recognition Consumption Market Share by Application (2015-2020) Figure Global Facial Recognition Consumption and Growth Rate of Emotion Recognition (2015-2020) Figure Global Facial Recognition Consumption and Growth Rate of Attendance Tracking and Monitoring (2015-2020) Figure Global Facial Recognition Consumption and Growth Rate of Access Control (2015-2020) Figure Global Facial Recognition Consumption and Growth Rate of Law Enforcement (2015-2020) Figure Global Facial Recognition Consumption and Growth Rate of Others (2015-2020) Figure Global Facial Recognition Sales and Growth Rate (2015-2020) Figure Global Facial Recognition Revenue (M USD) and Growth (2015-2020) Table Global Facial Recognition Sales by Regions (2015-2020) Table Global Facial Recognition Sales Market Share by Regions (2015-2020) Table Global Facial Recognition Revenue (M USD) by Regions (2015-2020) Table Global Facial Recognition Revenue Market Share by Regions (2015-2020) Table Global Facial Recognition Revenue Market Share by Regions in 2015 Table Global Facial Recognition Revenue Market Share by Regions in 2019 Figure North America Facial Recognition Sales and Growth Rate (2015-2020) Figure Europe Facial Recognition Sales and Growth Rate (2015-2020) Figure Asia-Pacific Facial Recognition Sales and Growth Rate (2015-2020) Figure Middle East and Africa Facial Recognition Sales and Growth Rate (2015-2020) Figure South America Facial Recognition Sales and Growth Rate (2015-2020) Figure North America COVID-19 Status Figure North America COVID-19 Confirmed Cases Major Distribution Figure North America Facial Recognition Revenue (M USD) and Growth (2015-2020) Table North America Facial Recognition Sales by Countries (2015-2020) Table North America Facial Recognition Sales Market Share by Countries (2015-2020) Table North America Facial Recognition Revenue (M USD) by Countries (2015-2020) Table North America Facial Recognition Revenue Market Share by Countries (2015-2020) Figure United States Facial Recognition Sales and Growth Rate (2015-2020) Figure Canada Facial Recognition Sales and Growth Rate (2015-2020) Figure Mexico Facial Recognition Sales and Growth (2015-2020) Figure Europe COVID-19 Status Figure Europe COVID-19 Confirmed Cases Major Distribution Figure Europe Facial Recognition Revenue (M USD) and Growth (2015-2020) Table Europe Facial Recognition Sales by Countries (2015-2020) Table Europe Facial Recognition Sales Market Share by Countries (2015-2020) Table Europe Facial Recognition Revenue (M USD) by Countries (2015-2020) Table Europe Facial Recognition Revenue Market Share by Countries (2015-2020) Figure Germany Facial Recognition Sales and Growth Rate (2015-2020) Figure UK Facial Recognition Sales and Growth Rate (2015-2020) Figure France Facial Recognition Sales and Growth (2015-2020) Figure Italy Facial Recognition Sales and Growth (2015-2020) Figure Spain Facial Recognition Sales and Growth (2015-2020) Figure Russia Facial Recognition Sales and Growth (2015-2020) Figure Asia Pacific COVID-19 Status Figure Asia Pacific Facial Recognition Revenue (M USD) and Growth (2015-2020) Table Asia Pacific Facial Recognition Sales by Countries (2015-2020) Table Asia Pacific Facial Recognition Sales Market Share by Countries (2015-2020) Table Asia Pacific Facial Recognition Revenue (M USD) by Countries (2015-2020) Table Asia Pacific Facial Recognition Revenue Market Share by Countries (2015-2020) Figure China Facial Recognition Sales and Growth Rate (2015-2020) Figure Japan Facial Recognition Sales and Growth Rate (2015-2020) Figure South Korea Facial Recognition Sales and Growth (2015-2020) Figure India Facial Recognition Sales and Growth (2015-2020) Figure Southeast Asia Facial Recognition Sales and Growth (2015-2020) Figure Australia Facial Recognition Sales and Growth (2015-2020) Figure Middle East Facial Recognition Revenue (M USD) and Growth (2015-2020) continued

About HongChun Research: HongChun Research main aim is to assist our clients in order to give a detailed perspective on the current market trends and build long-lasting connections with our clientele. Our studies are designed to provide solid quantitative facts combined with strategic industrial insights that are acquired from proprietary sources and an in-house model.

Contact Details: Jennifer GrayManager Global Sales+ 852 8170 0792[emailprotected]

NOTE: Our report does take into account the impact of coronavirus pandemic and dedicates qualitative as well as quantitative sections of information within the report that emphasizes the impact of COVID-19.

As this pandemic is ongoing and leading to dynamic shifts in stocks and businesses worldwide, we take into account the current condition and forecast the market data taking into consideration the micro and macroeconomic factors that will be affected by the pandemic.

https://murphyshockeylaw.net/

View post:

Impact Of Covid 19 On Facial Recognition Industry 2020 Market Challenges, Business Overview And Forecast Research Study 2026 Murphy's Hockey Law -...

Due to advanced neurotechnology, the development of human-machine interfaces and the betterment of the person's cognitive abilities is possible.

FREMONT, CA: Neurotechnology is fascinating as one of its goals is to directly wire up human brains to machines. Fundamental research is run to explore functions of the brain, decipher the neural code, and gets an improved understanding of diseases and disorders. Clinical applications of neurotechnologies provide alternatives to pharmaceutical methods and devices for diseases that have been fatal so far. The rapid development of this industry and the potential to increase human-human human-machine systems' communication abilities and the achievement of the information technology threshold of the scientific and technological progress makes it clear that the next technological revolution will be based on neurotechnology.

Previously, the medical field has focused on the fundamental potentials and perspectives of neurotechnology. However, it should be realized that very different processes have influenced this industry's development, which is still the powerful driver. It is about diagnosing and treating many neurodegenerative diseases, which are presently one of the main causes of deterioration in a person's quality of life. Currently, magnetic resonance imaging is used in many research and medical practices. The MR-image method enables to obtain 3D morphological and functional data at the millimeter and submillimeter levels.

However, the tradition of brain stimulation has more than 100 years of history, although quick development began after the development of imaging technologies. With the accumulation of new data, possibilities have emerged not only for analysis but also for accurate brain stimulation. The question of whether neurotechnologies should be leveraged or not is seamless to answer without putting it into the context of application instanced in the medical and non-medical field. No matter how the answer will be, this answer should not be given without knowledge about the possibilities, challenges, and threats of the technological solutions, without medical knowledge about potential risks, the patients' requirements, and potential alternative options. If everybody contributes their expertise and questions, the picture of neurotechnologies as allowing technology for new treatment options and better quality of life can become true, and patients cannot get fooled by wrong promises.

Read more from the original source:

Opportunities of Neurotechnology in Clinical Applications - Medical Tech Outlook

TAMPA, Fla.--(BUSINESS WIRE)--Neurolief Ltd., a neurotechnology innovator, today announces that it has entered into an exclusive agreement with Sawai Pharmaceutical Co., Ltd. for the development and marketing of Relivion, a non-invasive digital medical device for migraine and depression, in Japan.

Relivion is a non-invasive brain neuromodulation* device that is placed around the head and delivers unparalleled stimulation to the occipital and trigeminal nerves. This creates a cumulative effect by releasing neurotransmitters in the brainstem and modulating brain networks associated with control of pain and mood. The device is designed to allow patients to use Relivion at home, and share treatment data with their physician, in addition to uploading the data to the cloud database through a dedicated app. It is also designed to self-learn and analyze the treatments using AI technology in order to optimize the treatments for patients according to their symptoms.

*Neuromodulation: A therapeutic technology to modulate neurological activities through the administration of electric/magnetic stimuli or drugs.

With the view to launch Relivion in Japan, submissions to the Pharmaceuticals and Medical Devices Agency (PMDA) are expected for migraine by 2022 and depression by 2023. If Relivion is approved by the agency, it will be the only brain neuromodulation device available for treatment at home in Japan.

*In Europe, Neurolief obtained the CE Mark certification as a treatment device for migraine and is in preparation for the market launch. In the US, the application was filed to FDA in November 2020 as a 510(K) submission for migraine and is scheduled to be filed for depression by 2022.

By working with Sawai to introduce the Relivion neuromodulation device in Japan for use at home with doctor's supervision, we are widening treatment options for patients who are suffering from either migraine or depression.

About Neurolief

Dedicated to bringing relief to patients suffering from chronic neurological and neuropsychiatric disorders, Neurolief is creating a digital therapeutics platform of wearable clinically-proven neuromodulation solutions. This technology, which is made to be worn like a headset, is intended to offer highly effective, safe treatment options that work with current pharmaceutical therapies or may provide an alternative to these therapies. It is designed to concurrently neuromodulate major neural pathways in the head, and thereby affect brain regions that are involved in control and modulation of mood and pain. Neuroliefs technology is currently studied for patients with migraine and major depression, and future indications may include insomnia, ADHD and additional chronic pain and neuropsychiatric disorders. The company is based in Israel, with US operations in Tampa, FL and is made up of highly experienced professionals with a proven track record in neurosciences, neuromodulation technology and the neurotech devices industry. For more information, visit https://www.neurolief.com/

*The Trademark application for Relivion in Japan has been filed by Neurolief.

Read more:

Neurolief and Sawai Enter into Exclusive Development and Marketing Agreement for Relivion - Business Wire

Cereset Research shares brain maps of brain functional connectivity laterality in military-related traumatic stress

SCOTTSDALE, Ariz. (PRWEB) January 27, 2021

HIRREM (the legacy research technology of Cereset - a Brain State Company) was utilized by the Wake Forest School of Medicine to study symptoms of traumatic stress in military personnel before and after use of Cereset (legacy) intervention. (https://onlinelibrary.wiley.com/doi/10.1111/jon.12825)

Whole brain, resting state magnetic resonance imaging (MRI) was done pre- and post- Cereset intervention. Significant effects on brain network connectivity have been previously reported (https://onlinelibrary.wiley.com/doi/full/10.1111/jon.12571). For the current study, lateralization of brain connectivity was analyzed. Lateralization here refers to the distribution of brain connections within the right, and left side, or to the opposite side. This is important because common lobes in the right and left hemispheres of the brain execute different functions. Of note for these results, the parasympathetic division of the autonomic nervous system (which we think of as the brake to rest and digest) is managed primarily on the left, and the sympathetic division (which we think of as the gas to go) is driven primarily on the right. Thus, the dominant left is a freeze or numbing response indicator, and in contrast, a dominant right is the fight or flight response indicator.

Asymmetries were identified at baseline, along with changes in lateralization patterns after Cereset. Significant correlations were seen between whole-brain lateralization and symptoms of posttraumatic stress. These findings help to understand the effects of and how best to treat traumatic stress.

The brain is the organ of central command which activates and manages autonomic responses to trauma and stress. Results of this study support the model of bihemispheric autonomic management of traumatic stress (BHAM), proposed by Brain State and Wake Forest 6 years ago (https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00843/full). Regulated connections of the brain appear to be the upstream driver of health and wellbeing. When connections between hemispheres are more balanced, individuals are healthier.

Of note is the basis for this brain movement towards a healthier pattern. Cereset merely reflects the brains own electrical patterns using engineered tones to represent dominant brain frequencies. The client receiving Cereset is comfortably seated in a reclining chair to listen to the brain generated tones or BrainEcho. This supports the brain to relax, to change, and to reset itself to improve balance and symmetry, which is associated with reduced symptoms of traumatic stress.

Many prior clinical studies have demonstrated benefits associated with the use of Cereset for symptoms of insomnia, depression, stress, anxiety, concussion, hot flashes, postural orthostatic tachycardia, and migraine. The current and previous clinical trials also included objective outcome measures such as heart rate variability to demonstrate significant improvement in autonomic function. Symptom benefits were durable for up to 6 months in the current study, and autonomic improvement was durable through the final follow-up visit at 4 months in a placebo-controlled trial for insomnia.

The addition of the MRI lateralization findings reported in this study and the correlation with symptoms not only support the BHAM model but also point to a mechanism of effect for the clinical benefits previously reported with Cereset. Symptoms associated with trauma, stress, and allostatic load now affect a majority of the population. Cereset noninvasively supports the brain to balance and regulate itself with resulting benefits for psychological symptoms of traumatic stress and improved autonomic function.

Funding for this study was provided by:The Susanne Marcus Collins Foundation Inc., Joint Capability Technology Demonstration Program within the Office of the Under Secretary of Defense, US Special Operations Command, and the Wake Forest Clinical and Translational Science Institute.

For more information about Cereset Research / HIRREM clinical research studies, and other innovations in closed-loop neurotechnology / balanced neuromodulation, visit: https://www.wakehealth.edu/hirrem https://cereset.com/research

ABOUT CERESETCereset is a wellness company that helps clients relax their brains to manage stress, restore hope and achieve restful sleep through its patented BrainEcho technology. Cereset empowers the brain to reset itself as it hears and sees its own reflection. The global technology leader in non-invasive brain self-restoration and optimization, Cereset enables the brain to fully relax and naturally rebalance itself from the inside out. There is no outside intervention, stimulus or medication of any kind the brain does its own work while the client naps or relaxes quietly in a comfortable chair. To schedule an appointment at a Cereset client center, or to learn more, visit https://cereset.com

Share article on social media or email:

Read more:

Cereset Research Exposes the Secrets of Traumatic Stress Hidden in the Brain - PR Web