Daily Archives: January 25, 2021

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.

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

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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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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.

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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.

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

Neural Control Market research report is the new statistical data source added by A2Z Market Research.

Neural Control Market is growing at a High CAGR during the forecast period 2021-2027. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

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Top Key Players Profiled in this report are:

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Global Neural Control Market Segmentation:

Market Segmentation: By Type

* Hardware* Software

Market Segmentation: By Application

* Hospital* Research

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Regions Covered in the Global Neural Control Market Report 2021: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

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Global Neural Control Market Research Report 2021 2027

Chapter 1 Neural Control Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Neural Control Market Forecast

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Comprehensive Report on Neural Control Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027 | MIT, Hebrew university, Haier,...

The latest Facial Recognition Market Research comprises some significant activities of the todays market size for the global Facial Recognition market. Moreover, it provides a point-by-point analysis based on a comprehensive study of market elements such as market size, development situation, potential opportunities and analysis of the operating landscape as well as trends.

This research makes it possible to understand the current market scenario, particularly in 2020. Top-down and bottom-up approaches were used for estimating total market size. This will allow all manufacturers and investors to gain a better understanding of the direction in which the market is going.

Significant Competitors Covered in this report :

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.

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The report offers an in-depth analysis of Facial Recognition industries, placing them in the readers perspective, conveying accurate market information and adding valuable and well-informed data. It examines the effect of mechanical progress, changes in propensities to speculation, and the top-down outlines of the product specification. This report is based on the Facial Recognition-business status, presents volume and value, key market, type of product, consumers, regions and key players.

The report will be useful for monitoring development factors, inadequacies, hazards and lucrative opportunities that the market will provide over the forecast period. The report also includes revenues, industry size, share, output volume along with utilization in order to collect information about legislative issues and deal with a colossal mass of market share.

Facial Recognition Competitive Analyses in the Marketplace:

The Facial Recognition Industry is usually rewarding due to the presence of several accumulated players and their steady development of marketing strategies to expand their market share However, the marketable retailers are obsessed with value, quality, brand, product differentiation and product portfolio. The sellers progressively insist on the personalization of the products thanks to the customer connection.

The study presents the rate of market development, its size and forecasts worldwide, as well as the geographical economies: North America, Europe, Asia-Pacific, South America, Middle East and Africa.

Table of Contents:

Global Facial Recognition Market Analysis 2020, With Top Companies, Production, Revenue, Consumption, Price and Growth Rate

1 Market Scope2 Regional Market3 Global Facial Recognition Market Assessment by Type4 Global Facial Recognition Market Assessment by Application5 North America6 Asia7 Europe8 Middle East and Africa9 South America10 Global Facial Recognition Average Price Trend11 Value Chain (Impact of COVID-19)12 Facial Recognition Competitive Analysis13 Conclusion

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Major Type of Facial Recognition Covered in report:

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)

Application Segments Covered in Market

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

Key questions answered in the report include:

*What will the market growth rate of Facial Recognition market in 2024?*What are the major factors driving the global Facial Recognition market?*Who are the leading manufacturers in this market space?*Who are the traders, distributors, and dealers of the market?*What are the market opportunities, market risk and market overview of the Facial Recognition market?*What is the revenue, sales, and price analysis of leading manufacturers of this market?*What are the market opportunities and threats to be taken into account by the vendors in the global Facial Recognition market?

Facial Recognition Market Report ends with Breakdown and Data Triangulation, Consumer Needs/Customer Preference Change, Research Findings, Market Size Estimation, Data Source. However, these variables will widen the scope of activities as a whole.

Important Facts About Facial Recognition Market Report:

*This research report discloses Facial Recognition business overview, product overview, market share, demand and supply ratio, supply chain analysis, and import/export details.

*The Industry report captivates different approaches and procedures endorsed by the Facial Recognition market key players to make crucial business decisions.

*Facial Recognition market bring out some parameters such as Facial Recognition marketing strategy analysis, production value, Distributors/Traders and effect factors are also mentioned in this Facial Recognition research report.

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Facial Recognition Market Growing at a Significant Rate in the Forecast Period 2027 NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems...