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Global Facial Recognition Market Research 2023-TechSci Research
by David Johnson Top Market Research Company in USGrowing need for real time monitoring and surveillance coupled with rising demand for facial recognition from commercial sector to drive global facial recognition market through 2023
According to TechSci Research report, “Global Facial Recognition Market By Component, By Software Type, By End Use Sector, By Region, Competition Forecast and Opportunities, 2023’’, the global market for facial recognition market is projected to surpass $ 6 billion by 2023, owing to increasing need for monitoring and surveillance by the governments and defense sectors in order to fast-track criminal identification. Moreover, growing adoption by the commercial sector including BFSI, smartphone manufacturers, healthcare companies, etc., to provide more secure environment to their customers and to identify the customer behaviour and emotions, would further augment demand for facial recognition in the coming years. Additionally, smart city initiatives by various governments across the globe are further expected to drive growth in global facial recognition market in the coming years.
Browse 21 market data Tables and 88 Figures spread through 141 Pages and an in-depth TOC on "Global Facial Recognition Market" https://www.techsciresearch.com/report/global-facial-recognition-market/1585.html
3D facial recognition software is expected to grow at the fastest pace during the forecast period owing to restrictions in 2D facial recognition technology in term of accuracy, lighting, pose variations, etc., which is being overcome by 3D facial recognition technology. Among the end use sectors, government & transportation sector leads the market and is expected to maintain its dominance through the forecast period on account of increasing use of facial recognition for national ID programs, airport and railway stations security and for access controls in certain high security departments. Moreover, governments across the world, especially in the developed countries, have increased the use of technology for security as well as in their general operations. However, hospitality sector including casinos, are expected to witness the fastest rate among the end-use sectors, in the coming years as hotel owners are providing extra benefits for their premium customers in terms of features and faster security processes. North America region dominated the market during 2013-2017 as the region is much more advanced technically, both in terms of availability as well as adoption of the technology. United States and Canada are leading in the region as governments in these countries are more tech savvy and military & defence organizations are also using facial recognition for monitoring and surveillance of criminals. However, in the coming years, demand from South America is expected to increase at the fastest pace due to increasing adoption by the government and commercial sectors.
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NEC Corporation, Idemia, Gemalto NV, and Ayonix Corporation, among others are the major companies operating in the global facial recognition market. “Increasing demand for enhanced and more effective security from various commercial sectors in addition to giving access to the premium customers by the use of facial recognition is pushing demand for facial recognition across the globe. Moreover, increasing awareness about the technology coupled with smart ID programs would further steer growth in the global facial recognition market over the course of next five years.” said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.
“Global Facial Recognition Market By Component, By Software Type, By End Use Sector, By Region, Competition Forecast and Opportunities, 2023” has evaluated the future growth potential of global facial recognition market and provides statistics and information on market size, structure and future market growth. The report offers decision makers superior market intelligence, thereby enabling them conduct thorough investment appraisal. Besides, the report also analyzes the evolving market trends along with major drivers, challenges and opportunities in the global facial recognition market.
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Created on Jul 17th 2018 01:45. Viewed 520 times.
A Facial Recognition System is a technology capable of identifying or verifying a person from a digital image - There are multiple methods in which facial recognition systems work, -generally they work by comparing selected facial features from a given image with faces within a database. - Biometric Artificial Intelligence based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape.
Face ID is a facial recognition system designed and developed by Apple Inc. for the iPhone and iPad Pro. The successor to Touch ID, the system allows biometric authentication for unlocking a device, making payments, and accessing sensitive data, as well as providing detailed facial expression tracking for other features...
Chui is a company, formed in 2014, that uses facial recognition and machine learning to grant access and predict behavior. There are 2 main parts of the technology:
In psychology and cognitive neuroscience, pattern recognition describes a cognitive process that matches information - retrieved from memory.
The Facial Recognition Technology (FERET) program was a government-sponsored project that aimed to create a large, automatic face-recognition system for intelligence, security, and law enforcement purposes. - 1993 under the combined leadership of Dr. Harry Wechsler at George Mason University (GMU) and Dr. Jonathan Phillips at the Army Research Laboratory (ARL) in Adelphi, Maryland that resulted in the development of the Facial Recognition Technology (FERET) database. The goal of the FERET program was to advance the field of face recognition technology by establishing a common database of facial imagery for researchers to use - baseline, for facial recognition face recognition algorithms...
DeepFace is a deep learning facial recognition system created by a research group on Facebook. It identifies human faces in digital images. It employs a nine-layer neural net with over 120 million connection weights, organized as a siamese network, and was trained on four million images uploaded by Facebook users.
The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35%... One of the creators of the software, Yaniv Taigman, came to Facebook via their 2007 acquisition of Face...
(Face) was an Israeli technology company that developed a platform for efficient and accurate facial recognition in photos uploaded via web and mobile applications.
(Face) apps and API services scanned billions of photos monthly - social networking information. February 2011, the company “discovered” 18 billion faces across its API and Facebook applications.
Megvii is a Chinese technology company that designs image recognition and deep-learning software. Based in Beijing, the company develops artificial intelligence (AI) technology for businesses and for the public sector.
In 2019, the company was valued at USD $4 billion. Megvii is the largest provider of third-party authentication software in the world... its product, Face++, is the world’s largest open-source computer vision platform.
ePassport gates are automated self-service barriers operated by the United Kingdom's Border Force and located at immigration checkpoints in arrival halls in some airports across the UK and in international railway terminals abroad, offering an alternative to using desks staffed by immigration officers.
The gates use facial recognition technology to verify the traveler's identity against the data stored in the chip in their biometric passport, as well as run the data against numerous databases to determine if the traveler is a security risk.
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.
Amazon - Inc. an American multinational technology company based in Seattle, Washington, that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Amazon - Inc. is considered one of the Big Four technology companies along with Google, Apple, and Facebook.
Facial Recognition, Facial Analysis, Pattern recognition Technology,
Textbooks from Wikibooks
Free Comparison Databases
Social media content sharing sites (Facebook, Instagram, Twitter, etc.) allow for the harvesting of free data to populate recognition comparison databases. Nothing is stopping someone from saving Facebook photos and creating their own database full of human images to compare other faces too.
Camera footage ran against some of these databases may be skewed. Comparing footage to databases of mugshots will produce results only for those previously convicted.
Another resort is to compare footage against images of random people, hoping to find a match. face in a comparison database... These databases may produce inaccurate results. Security camera footage is often inaccurate because of the blurriness of the image, which does not allow for the heightening of facial features.
When such footage is compared with these databases, a match may occur, regardless of its validity.
Innocent people may be drawn into an investigation or convicted of a crime they did not commit, tarnishing their reputation...
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Sep 21st 2019 03:43