Category Archives: Neurotechnology

Brain signal processing may allow a more adaptive and immersive gaming experience

Gaming technology firm Valves Founder Gabe Newell urged developers to undertake brain-computer interface (BCI) studies, predicting that they will drastically change the gaming industry. According to Newell, gamers might soon be able to control their in-game movements via brain wave transmission thanks to emerging research and development in the field of BCIs, writes tvnz.com.

In a recent interview, Newell also announced an open-source project in partnership between Valve and the OpenBCI developer community. The project will allow creators to study and improve brain-signal processing in conjunction with VR headsets to enhance the gaming experience.

Aerendir has suggested biometric BCIs could upgrade mobile authentication security, and Neurotechnology launched a development kit for brainwave biometricslast year.

According to Valves Newell, the scanning process involves brainwaves being read through sensors placed in a headset. The gathered signals can then be interpreted to improve the gaming experience. Currently, data is taken from a players brain and body can be used to determine the individuals mental state. Excitement, boredom, surprise, and fear are only some of the emotions that can be captured using the proposed high-definition sensors.

Aside from allowing developers to personalize the gaming experience and make it more immersive, Newell also predicts that in the future these signals can be used to control in-game movements.

Were working on an open-source project so that everybody can have high-resolution [brain signal] read technologies built into headsets, in a bunch of different modalities, Newell added, If youre a software developer in 2022 who doesnt have one of these in your test lab, youre making a silly mistake.

Newell also predicts other applications resulting from BCI technology such as improved sleep and even emotional analysis and adjustments, at least some of which would presumably utilize brainwave data as biometrics. Asides from these benefits, he also added that BCIs are a vital element in improving artificial body parts.

The collaboration will allow Valve to incorporate OpenBCI products such as the planned Galea Headset to work in tandem with its signature Index VR headset.

biometric sensors | biometrics | brainwave | emotion recognition | gaming | open source | OpenBCI | wearables

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Valve sees brain-computer interfaces as the future of gaming - Biometric Update

Latest added Facial Recognition Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2026. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study areGemalto NV, Ayonix Face Technologies, Cognitec Systems, NVISO SA., Daon, StereoVision Imaging, Techno Brain., Neurotechnology, Innovatrics.The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

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Market Analysis:Global Facial Recognition Market

Global facial recognition market is set to witness a healthy CAGR of XX% in the forecast period of 2021 to 2027. The report contains data of the base year 2020 and historic year 2019. This rise in the market can be attributed due to rising demand for surveillance systems for enhancing safety and security

Few of the major competitors currently working in the globalfacial recognition marketareNEC Technologies India Private Limited, Aware, Inc., Gemalto NV, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA., Daon, StereoVision Imaging, Inc., Techno Brain., Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, Crunchbase Inc., Aurora Computer Services Limited, Nuance Communications, Inc., FaceFirst

Market Definition:Global Facial Recognition Market

Facial recognition is a technology which is used to recognize human face for different purposes. Facial recognition system uses biometrics software to match facial features or information from the recorded database. It is easy to integrate with existing security features. Facial recognition is generally used for security purposes. Facial recognition is also defined as an application based on biometric artificial intelligence that can define an individual uniquely by analyzing patterns based on the facial textures and shape of the individual.

Facial Recognition Market Restraints:

Research Methodology:Global Facial Recognition Market

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Facial Recognition Market Drivers:

Key Insights in the report:

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Table Of Content: Global Facial Recognition Market

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Global Facial Recognition Market Landscape

Part 04: Global Facial Recognition Market Sizing

Part 05: Global Facial Recognition Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers And Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

And More

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Facial Recognition Market Growth, Trends and Developments 20212027 | Gemalto NV, Ayonix Face Technologies, Cognitec Systems The Courier - The Courier

The head of video game giant Valve has revealed that the company is working on a way to connect human brains to computers in order to revolutionise gaming and fundamentally alter human experience.

Gabe Newell told New Zealands 1 News that Valve is working with neuroscience platform OpenBCI to develop an open source brain-computer interface (BCI) software.

One of the goals is to allow people to fully immerse themselves in video games through a VR-style headset, however Mr Newell claimed that the ultimate potential is nearly limitless.

Were working on an open source project so that everybody can have high-resolution [brain signal] read technologies built into headsets, in a bunch of different modalities, he said.

A lot of our product design discussions sound like science fiction Our ability to create experience in peoples brains that are not mediated through their meat peripherals will actually be better than is possible [with our senses].

A BCI headset design by OpenBCI that could integrate with a virtual reality device

(OpenBCI)

This would mean that by tapping directly into the part of the brain responsible for visual, audio or sensory feedback, a users experience would be vastly improved than what is delivered through their ears or eyes.

The real world will stop being the metric that we apply to the best possible visual fidelity, he said. The real world will seem flat, colourless, blurry compared to the experiences that youll be able to create in peoples brains.

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With BCIs, fairly quickly well be able to create experiences that are superior to [reality]. But thats not where it gets weird. Where it gets weird is that who you are becomes editable through a BCI.

The idea of editing emotions or thoughts through BCIs is not a new one and has previously been floated by Elon Musks neurotechnology startup Neuralink.

Neuralink demonstrated a working BCI device last year, which it had implanted in a pigs brain in order to monitor signals and activity.

During a presentation last August, Musk said the chip would be used to help solve brain and spine problems but could ultimately be used for a range of applications, such as summoning a self-driving Tesla telepathically.

You could solve blindness, you could solve paralysis, you could solve hearing, he said. In the future youll be able to save and replay memories Ultimately, you could download them into a new body or robot body."

A robot designed by Neuralink would insert the 'threads' into the brain using a needle

Neuralink

A fully implantable neural interface connects to the brain through tiny threads

Neuralink

Trials of Neuralink's fully implantable neural interface system will begin in 2021

Neuralink

Neuralink says learning to use the device is 'like learning to touch type or play the piano'

Neuralink

Valve is yet to announce any details about when a working device might be made commercially available, though Mr Newell hinted that it is unlikely to be before 2022.

Mr Newell also said that beyond gaming, advances with BCI technology would transform sleep into just an app that you run in order to maximise body recovery and performance.

The brains flexibility means you could even make people think they have tentacles instead of arms, he claimed, though he also warned that user acceptance of such technology depended entirely on trust.

Theres nothing magical about these systems that make them less vulnerable to viruses or things like that, he said.

People are going to have to have a lot of confidence that these are secure systems that dont have longterm health risks.

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Valve is building brain-computer interface for fully-immersive video games, president reveals - The Independent

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Key Plyares Analyis: Global Face and Voice Biometrics Market

3M Cogent (USA)NEC Corporation of America (USA)AcSys Biometrics Corp. (Canada)AGNITiO S.L. (Spain)Cognitec Systems GmbH (Germany)Nuance Communications, Inc. (USA)Eurotech S.P.A (Italy)Ivrnet Inc. (Canada)Kimaldi Electronics, S.L. (Spain)National Security Resources (USA)Neurotechnology (Lithuania)PSP Security Co. Ltd (Hong Kong)SAFRAN Group (France)Sensible Vision (USA)Sensory, Inc. (USA)Suprema, Inc. (Korea)VoiceTrUSt eServices, Inc. (Canada)VoiceVault, Inc. (USA)

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Furthermore, in the course of the report this research report on global Face and Voice Biometrics market identifies notable industry forerunners and their effective business decisions, aligning with market specific factors such as threats and challenges as well as opportunities that shape growth in global market. This dedicated research report on the Face and Voice Biometrics market delivers vital understanding on the market at a holistic global perspective, rendering conscious statistical analysis and a holistic perspective of integral growth enablers prompting favorable growth across regions.

Face and Voice Biometrics Market Analysis by Types:

Face BiometricsVoice Biometrics

Face and Voice Biometrics Market Analysis by Applications:

Banking, Financial Services & Insurance (BFSI)Government & Law EnforcementMilitary & DefenseHealthcareCommercial

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Region Segmentation:

North America Country (United States, Canada)South AmericaAsia Country (China, Japan, India, Korea)Europe Country (Germany, UK, France, Italy)Other Country (Middle East, Africa, GCC)

Further, holistic research derivatives focusing on Face and Voice Biometrics market is a high-grade professional overview of various market determinants and factors representing factors, challenges, trends, threats, and a holistic overview that determine the overall growth directive of the Face and Voice Biometrics industry, churning market specific detailing.

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Major Points from Table of Content:

Section 1 Face and Voice Biometrics Product DefinitionSection 2 Global Face and Voice Biometrics Market Manufacturer Share and Market OverviewSection 3 Manufacturer Face and Voice Biometrics Business IntroductionSection 4 Global Face and Voice Biometrics Market Segmentation (Region Level)Section 5 Global Face and Voice Biometrics Market Segmentation (Product Type Level)Section 6 Global Face and Voice Biometrics Market Segmentation (Industry Level)Section 7 Global Face and Voice Biometrics Market Segmentation (Channel Level)Section 8 Face and Voice Biometrics Market Forecast 2020-2025Section 9 Face and Voice Biometrics Segmentation Product TypeSection 10 Face and Voice Biometrics Segmentation IndustrySection 11 Face and Voice Biometrics Cost of Production Analysis

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Face and Voice Biometrics Market Present Status, Revenue and Competitive Situation 3M Cogent (USA), NEC Corporation of America (USA), AcSys...

VILNIUS, Lithuania, Jan. 18, 2021 /PRNewswire/ --Neurotechnology, a provider of deep-learning-based solutions and high-precision biometric identification and object recognition technologies, today announced the release of theSentiVeillance 8.0software development kit (SDK). WithSentiVeillance SDK, developers can create identification solutions that use live video streams from digital surveillance cameras or video files. The latest version adds face detection and recognition of people who are wearing masks and includes new algorithms that improve license plate detection and recognition speed and accuracy. It also provides new features for vehicle and human (VH) mode, including car make and model estimation, vehicle angle estimation and cloth and gender estimations for pedestrians. It includes a new working mode combination enabling face and VH modes to be used together for fast and accurate identification.

SentiVeillance 8.0 provides identification and analytics from live digital surveillance streams or video files.

"I am very grateful for all the hard work our team put into this latest release that enhances speed and accuracy and provides compelling new ways to use our software,"said Vytautas Pranckenas, SentiVeillance product lead for Neurotechnology."There has never been a more important time for reliable recognition solutions that can adapt to new conditions, such as people wearing masks."

The new SentiVeillance mode combination (face and VH) allows tracking of the subject even when the face is no longer visible functionality that is particularly useful in scenarios where tracking a person's position is important.

BIOMETRIC FACIAL RECOGNITIONThe high reliability of SentiVeillance's biometric facial identification algorithm allows it to be used with large watch-list databases, both for identifying a person who is on a list and adding new faces from video streams to watch-lists. It tracks identified faces as they move around the camera's field of view and continues tracking even if a person moves behind an object and re-appears. It is effective both close-in and at a distance when using high-resolution cameras. SentiVeillance can perform gender classification, evaluate a person's age, identify facial expressions (e.g. smile, open mouth, closed eyes) and detect particular attributes, such as if the person is wearing a mask, glasses or sunglasses and whether they have a beard or mustache.

VEHICLE and HUMAN DETECTION AND MOVEMENT TRACKING (VH)SentiVeillance detects both moving and static vehicles or people in a scene and performs object classification and tracking until the subjects disappear. In addition to pedestrian detection and vehicle classification by type, it provides identification of the specific vehicle make and model as well as its orientation. For pedestrians, SentiVeillance identifies different types of clothing and provides gender prediction. The algorithm also returns an estimation of paint color for vehicles and predominant clothing color for pedestrians, and it determines the vector in which they are moving (e.g. north, south, southwest).

AUTOMATIC LICENSE PLATE RECOGNITION (ALPR)The new ALPR capability in SentiVeillance automatically detects and reads vehicle license plates, recording the information from both stationary and moving vehicles within the scene. The latest release is up to 2 times faster for CPU uses and up to 5 times faster when a GPU is used. Accuracy testsreach 99.1% for >200 pixel width license plates and 88.7% for license plates captured from far away (<100 pixel width).

The latter two modes (VH and ALPR) can be used together to create larger, more varied solutions. For example, when conventional ALPR is used for road tolls, automatic car washes or paid parking systems, users might try to avoid paying by altering or exchanging license plates. Stolen vehicles might also have their license plates changed. When using multiple analytics in concert, the resulting solution could match and verify plate numbers with other characteristics of the vehicle, such as type and color, through queries of previously stored values or vehicle registration databases.

The new SentiVeillance is designed to run on multi-core processors for fast performance and can process video data from multiple cameras simultaneously using a common PC (current generation i7 CPU with 8 or more cores) and can utilize multiple graphics processing units (GPUs) to achieve even better performance. It can be used with large surveillance systems, incorporating many cameras and data-processing nodes. Developers have many and varied options in the creation of scalable, cost-effective solutions for their customers.

THERMAL FACES SAMPLEThe new SentiVeillance SDK package contains a precompiled sample with source codes and device integration for the Mobotix m16 camera with thermal sensor. It shows functionality for face tracking, mask estimation and temperature readings, and it allows the setting of temperature thresholds or estimating deviations from averages. The sample is created to help with automatic entrance control.

ABOUT NEUROTECHNOLOGYNeurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. The company was launched in 1990 in Vilnius, Lithuania, with the key idea of using neural networks for various applications, such as biometric person identification, computer vision, robotics and artificial intelligence. Since the first release of its fingerprint identification system in 1991, the company has delivered more than 200 products and version upgrades. More than 3,000 system integrators, security companies and hardware providers in more than 140 countries integrate Neurotechnology's algorithms into their products. The company's algorithms have achieved top results in independent technology evaluations, including NIST MINEX, PFT, FRVT, IREX and FVC-onGoing.

Media Contact

Jennifer Allen Newton Bluehouse Consulting Group, Inc. +1-503-805-7540 jennifer (at) bluehousecg (dot) com

SOURCE Neurotechnology

https://www.neurotechnology.com

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Neurotechnology Releases New SentiVeillance 8.0 SDK for Identification and Analytics Using Live and Video Streams - PRNewswire

Neurotechnology has released the latest version of its SentiVeillance software development kit. SentiVeillance 8.0 will enhance the utility of the computer vision platform for people who are wearing masks, and will also improve its performance with license plates and vehicles.

The SDK provides customers with a full suite of computer vision applications, including facial recognition and license plate detection. The upgrades will allow the platform to identify covered faces during the COVID-19 pandemic. It can also determine whether or not someone is wearing mask to make sure people are complying with public safety guidelines. The solution can be used for surveillance and access control, and can read attributes like gender and age while simultaneously tracking someones movements through a large space.

The updated vehicle features will provide similar tracking capabilities for cars. SentiVeillance 8.0 is able to identify the make and model of a car, and can estimate other details like paint color and the direction a vehicle (or a pedestrian) was headed when it left the cameras field of view. As a result, the system can follow a vehicle even if the driver tries to change their license plate to evade detection, especially when used in conjunction with facial recognition.

Having said that, SentiVeillance 8.0 will improve Neurotechnologys ability to recognize license plates. The new SDK is two times faster with a CPU and five times faster with a GPU, and is 99.1 percent accurate when close up (>200 pixel width) and 88.7 percent accurate at distance (<100 pixel width).

SentiVeillance can be used to search for people on watch lists, or add people to a watch list based on their activities. It is also comes with integration code for the Mobotix m16 camera, which is built with a thermal sensor and offers temperature detection capabilities.

This latest release enhances speed and accuracy and provides compelling new ways to use our software,said SentiVeillance Product Lead Vytautas Pranckenas.There has never been a more important time for reliable recognition solutions that can adapt to new conditions, such as people wearing masks.

Neurotechnology released the twelfth edition of its MegaMatcher biometric platform in September. The company is now one of the many companies that has added mask and temperature detection capabilities during the pandemic, joining a list that already includes vendors like CyberLink and VSBLTY.

January 18, 2021 by Eric Weiss

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Neurotechnology Improves Mask and Vehicle Tracking Capabilities with SentiVeillance 8.0 - findBIOMETRICS

The idea of a surgeon implanting electrodes deep into your brain or of a computer reading your thoughts may seem like something out of science fiction. But such technologies are increasingly part of our everyday reality and, while they raise moral and ethical questions, they offer hope to many with disabilities and neurological disorders.

Electrodes in the brain have been used to treat several debilitating illnesses, including Parkinsons disease and severe depression. And researchers are experimenting with brain-computer interfaces that could make it possible for people who have lost the ability to move to communicate with others and operate assistive devices, such as wheelchairs.

Learn more about the field of neurotechnology and the potential of various neurotechnologies to improve the lives of people with disabilities and long-term illnesses at a public talk hosted by the Ontario Brain Institute at 6:30 p.m. on January 21. You will be able to watch the live stream here:

The panel, moderated by McGill Universitys Rackeb Tesfaye, will feature experts developing such technologies and people who work with and support those with disabilities.

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Ontario Brain Institute: The Transformative power of neurotechnology - TVO

Neurotechnology has updated its flagship MegaMatcher 12 portfolio. MegaMatcher 12 debuted in September, providing interested customers with improved versions of all of the companys biometric algorithms.

MegaMatcher 12.1 builds on that foundation, and introduces a slew of new features. Most notably, Neurotechnology has bolstered its facial recognition algorithm with single frame liveness detection and enhanced blink detection. It has also improved its mask detection capabilities, allowing the platform to do a better job of recognizing people with covered faces.

The fingerprint algorithm now offers better fingerprint segmentation, and gives users access to a special mode to enable matching in cases in which a fingerprint record does not have the proper resolution. Meanwhile, MegaMatcher 12.1 will run better on Android, iOS and Linux ARMplatforms thanks to its upgraded face, fingerprint, and iris template extraction tech.

Finally, MegaMatcher 12.1 will offer support for the WebP image format, and will allow customers to use NBiometricClient to connect to the MegaMatcher ABIS. Doing so will make it easier to migrate applications that were originally designed to function at the local level.

MegaMatcher 12.1 arrives on the heels of SentiVeillance 8.0. The latest iteration of the Neurotechnology computer vision platform can detect masks, and can track the movements of people and vehicles through a larger space.

January 22, 2021 by Eric Weiss

Excerpt from:

Updated Version of MegaMatcher 12 Features Improved Biometric Algorithms - findBIOMETRICS

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In a paper published today in Nature Communications, Dr. Marco Capogrosso, assistant professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine, proposed a new technology to improve arm and hand movements in individuals with arm paralysis due to spinal cord injury, stroke or other movement disorders.

In collaboration with colleagues in Switzerland, Capogrosso and his team combined physics simulations with experiments in macaque monkeys and humans to demonstrate that epidural electrical stimulation of specific regions in the spinal cord can be used to activate arm and hand muscles.

This work is very important for clinical applications, said Capogrosso, senior author of the paper, who is also part of the Pitt Rehab Neural Engineering Labs. To design effective therapies for paralysis, we need to selectively engage hand and arm muscles by providing the surviving neural circuits with appropriate electrical signals. In practice, this means that we need to know where to implant electrodes and how to design them and our work provides guidance to that.

Epidural stimulation is a neurotechnology that is used to treat pain caused by damage or injury to the nerves in thousands of patients every year. For this procedure, a surgeon implants a small neurostimulation device consisting of thin electrode wires over the spinal cords protective coating. When the device is turned on, it can send electric signals to the damaged nerve fibers and stimulate them, restoring the spinal circuits and dampening the feeling of pain after the injury.

However, modern spinal cord stimulators are not intended to target the cervical neural circuits necessary for arm and hand movement. Therefore, the scientists proposed and tested a modified design of multi-electrode spinal implants that were fitted to monkeys spinal cord dimensions.

To determine the optimal placement of electrodes in the cervical spinal cord where neural circuits that control arm movements are located researchers used insights from in silico, or computer, experiments and reproduced them in monkeys. Combining computer simulation with animal studies allowed researchers to reduce the number of animals needed to collect meaningful data as part of an effort called the Three Rs (Replacement, Reduction, Refinement) that strives to minimize the use of animals in research. And, because the monkeys cervical spine is anatomically and functionally similar to the humans, scientists were able to approximate the arm and hand movement in people very closely.

I think our graduate students Nathan Greiner, Beatrice Barra and the other members of the team did great work in building up from basic science concepts to design this practical technology while minimizing the number of animals used in this research, added Capogrosso.

However, there is still significant work to do to optimize this technology for use in people.

Capogrosso moved to Pittsburgh in January 2020 and joined the Department of Neurological Surgery to use the impressive resources of UPMC to bring this technology to patients as soon as possible. Thanks to collaborations with neurosurgeons such as Dr. Peter Gerszten, Capogrosso hopes to start testing the implant in patients soon.

Using the tools developed by other researchers, such as Dr. Fang-Cheng Yeh at the Department of Neurological Surgery and Dr. Elvira Pirondini at the Department of Physical Medicine and Rehabilitation, they will use precise MRI imaging to target electrode implantation in humans and reproduce the results obtained in monkeys.

Hopefully, well see the first results in humans in 2021, Capogrosso said.

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New Technology Promises to Restore Movement in Paralyzed Arms - UPMC

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Key players are involved in mergers and acquisition to strengthen their market position. Owing to increasing competition frequent innovations are taking place in the market. Some of the companies operating the industry are: Herta Security, FacePhi, Sightcorp., Beijing Kuangshi Technology Co., Ltd., FaceFirst, Animetrics, Inc., id3 Technologies, Innovatrics, Neurotechnology, Techno Brain, StereoVision Imaging, Inc., Cognitec Systems GmbH, IDEMIA, Daon, Ayonix Corporation, Aware, Inc., NEC Corporation, Thales Group, Panasonic Security Solutions, among other domestic and global players..

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Regional Analysis for Facial Tracking Solutions Market (Customizable):

What Does the Report Hold?

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What Porters Five Forces of Competitive Analysis Provides?

Competitive Rivalry:- The main driver is the number and capability of competitors in the market. Many competitors, offering undifferentiated products and services, will reduce market attractiveness.

Threat of Substitution:- Where close substitute products exist in a market, it increases the likelihood of customers switching to alternatives in response to price increases. This reduces both the power of suppliers and the attractiveness of the market.

Threat of New Entry:- Profitable markets attract new entrants, which erodes profitability. Unless incumbents have strong and durable barriers to entry, for example, patents, economies of scale, capital requirements or government policies, then profitability will decline to a competitive rate.

Supplier Power:- An assessment of how easy it is for suppliers to drive up prices. This is driven by the: number of suppliers of each essential input; uniqueness of their product or service; relative size and strength of the supplier; and cost of switching from one supplier to another.

Buyer Power:- An assessment of how easy it is for buyers to drive prices down. This is driven by the: number of buyers in the market; importance of each individual buyer to the organisation; and cost to the buyer of switching from one supplier to another. If a business has just a few powerful buyers, they are often able to dictate terms.

Five forces analysis helps organizations to understand the factors affecting profitability in a specific industry, and can help to inform decisions relating to: whether to enter a specific industry; whether to increase capacity in a specific industry; and developing competitive strategies.

We are a unit incessantly watching the market developments and changes occurring as an on the spot or indirect impact of the continued COVID-19 pandemic. Thereby, we have a tendency to area unit during a position to supply info on the market values and trends for each pre-COVID-19 and post-COVID-19 situations.

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Global Facial Tracking Solutions Market Research Key Players, Industry Overview And Forecasts To 2027 | Herta Security, FacePhi, Sightcorp., Beijing...