Researchers Develop AI Model That Creates Invisible Digital Masks for Personal Photos

There's an innovative Al model called Chameleon, developed by researchers at Georgia Tech, that creates invisible digital masks for personal photos to protect against unwanted facial recognition.

This breakthrough innovation is a significant advancement in the digital privacy , offering a robust way to protect personal identity in a world where facial recognition is becoming increasingly prevalent.

The P3-Mask

Integrating P-3 Mask technology into smartphone cameras could allow users to automatically protect their photos as they are taken. Individuals concerned about privacy can use the P-3 Mask to anonymize their images in public surveillance footage. Companies can protect employee and client photos from being misused or recognized by unauthorized systems. Brands can use the P-3 Mask to ensure that images used in campaigns do not compromise the privacy of the people featured.

This model generates a personalized privacy protection (P-3) mask for all of a user's facial photos, making them unrecognizable to facial recognition scans while preserving the image quality.

The Chameleon Al model was developed by researchers at Georgia Tech University. The team, led by Professor Ling Liu, includes Ph.D. students Sihao Hu and Tiansheng Huang, along with Ka-Ho Chow, an assistant professor at the University of Hong Kong.

Chameleon creates an innovative single, personalized Personalized Privacy Protection (P-3) Mask for all of a user's facial photos, making them unrecognizable to facial recognition tools.

Unlike physical masks, the P-3 Mask is a digital layer applied to images, making it invisible to the naked eye but effective against facial recognition algorithms. The model is designed to be resource-efficient, requiring minimal processing power.

Further, Chameleon uses a perceptibility optimization technique to ensure that the visual quality of the protected photos is maintained.

A paper on Chameleon, Personalized Privacy Protection Mask Against Unauthorized Facial Recognition, was presented earlier this month at ECCV 2024.

The researchers aim to release the Chameleon code publicly on GitHub soon, allowing developers to integrate this technology into various applications.

Usage

The Chameleon AI model can be applied in various everyday applications to enhance privacy and security. Here are some potential uses:

1. Personal Privacy: Individuals can use Chameleon to protect their personal photos from unauthorized facial recognition scans, ensuring their images remain private and secure.

2. Social Media: Social media platforms can integrate Chameleon to automatically apply privacy masks to user-uploaded photos, safeguarding users' identities.

3. Smartphone Security: Mobile devices can incorporate Chameleon to provide real-time facial recognition protection, preventing unauthorized access and enhancing user privacy.

4. Public Surveillance: In public spaces, Chameleon can be used to anonymize individuals in surveillance footage, protecting their identities while still allowing for security monitoring.

5. Marketing and Advertising: Companies can use Chameleon to anonymize images used in marketing campaigns, ensuring that individuals' privacy is maintained while still showcasing products or services.

These applications demonstrate how Chameleon can be a valuable tool for protecting privacy in various aspects of daily life.

Brazil Tests the World's First Facial Recognition Shuttle Service

• Congonhas Airport debuts the Embarque + Seguro 100% Digital Boarding System with the use of simultaneous biometrics of passengers in the shuttle service between Rio de Janeiro (Santos Dumont) and São Paulo
• The technology, developed by IDEMIA, captures facial biometrics in a fraction of seconds, providing even more agility to the boarding process, avoiding queues and delays.

The Project Embarque + Seguro 100% Digital Boarding System, using the Brazilian government’s facial recognition, arrives this Tuesday (June 15) at the Congonhas Airport (SP). For the first time in the world, passengers on the air shuttle service between the capitals of São Paulo and Rio de Janeiro will participate in the simultaneous testing of this end-to-end technology without the need to present neither a boarding pass nor an identification document. The Project of the Ministry of Infrastructure, developed in partnership with Serpro and the Special Secretariat of Debureaucratization, Management and Digital Government of the Ministry of Economy, has already been tested at the airports of Florianópolis (SC), Salvador (BA), Santos Dumont (RJ) and Belo Horizonte (Confins).

(Photo: Business Wire)

After the approval of the pilot project, the Federal Government will move forward with actions to effectively implement the technology in major Brazilian airports. The technology aims at making the boarding process at airports more efficient, agile, and secure. "It is the first time that tests are carried out simultaneously in two of our airports, thus establishing, in an unprecedented way, a 100% biometric air shuttle between RJ / SP, which has the fifth-largest movement in the world", highlights the executive secretary of MInfra, Marcelo Sampaio.

Throughout the day, Azul Linhas Aéreas’s passengers travelling between Congonhas and Santos Dumont airports will be invited to try the biometric facial recognition technology to access both boarding area and aircraft at both terminals. "Embarque + Seguro combines biometric validation and data analysis, ensuring an accurate, agile and secure validation of the identity of passengers, who can thus travel with more comfort and tranquility. The solution complies with the General Data Protection Law (LGPD) and is premised on security in the processing of personal data against misuse or unauthorized use", emphasizes the president of Serpro, Gileno Barreto.

For the president of Infraero, Brigadier Paes de Barros, "the air shuttle’s Embarque + Seguro unites two essential items that streamline the boarding processes, which are safety and ease for the passenger and the entire civil aviation system".

According to the Director of Public Security & Identity (PSI) of IDEMIA in Brazil, Márcio Lambert, "Facial recognition is a global trend and the Project Embarque + Seguro, jointly carried out by Minfra and Serpro, shows that Brazil is on the right track to airport digitalization. IDEMIA’s technology is applied in the most modern airports around the world, such as Changi in Singapore, and offers a high level of security for passengers, airlines, and airport operators, as its algorithm is highly accurate, reaching a extremely high authenticity rate in the identification of individuals. IDEMIA is proud to participate in this project along with Brazil’s Federal Government and to enable the world’s first 100% end-to-end digitized boarding system in an executive air shuttle service".

"The latest Global Passengers Research conducted by the International Air Transport Association (IATA) says that 70% of interviewees are willing to share their biometry for identification purposes during the boarding process. Our global expertise contributes to meeting society’s need to fly again. This innovative project developed by the Federal Government allows travelers to enjoy a quieter, safer and more comfortable boarding experience and puts Brazil at the forefront of the digital transformation movement. IDEMIA as a global leader in augmented identity has the mission to facilitate the flow of passengers by creating the possibility to interact and travel in a more connected way. To participate in the first air shuttle with an end-to-end fully digitized boarding system, in both airports, is an important milestone in our history,” explains Rodrigo Costa, PSI business development director at IDEMIA LATAM.

The MFACE technology, developed by IDEMIA, captures facial biometrics in seconds, making the boarding process even more agile, avoiding queues and delays. The solution combines the convenience and security of data validation, respecting the privacy of passengers according to the GDPR, and ensures a more hygienic process by eliminating document and paper handling, thus avoiding the risk of contamination.

"The control of IDEMIA’s biometric system follows high-quality, reliability and safety standards and offers more agility and comfort to passengers, turning the airport operational process more intelligent, the airline passenger identification more accurate, and generates the security required by the government," adds Márcio Lambert.

How it works

When checking in at the airport, the passenger of Azul Linhas Aéreas is invited to participate in the project. If the passenger agrees, then a message is sent to the cell phone informed in the application, requesting authorization to obtain the passenger’s data, including the social security number and a photo. Upon consent, the airline attendant, using the application developed by Serpro for this purpose, performs the biometric validation of the citizen, comparing the data and the photo taken on the spot with the government databases.

After validated, the passenger is released to enter the departure hall and the aircraft passing through biometric control points, whose cameras perform the passenger’s identification without the need for the user to present any document or boarding pass.

Total Security

In the pilot project, indicators such as queue time reduction, access to the departure hall and aircraft are measured, in addition to operating costs. With the tests, it is expected that airport security increases, as facial recognition allows an accurate identification of passengers.

"We are moving towards a fully secure biometric boarding at every airport in the country. In addition to the process being safe from the sanitary point of view, by eliminating the handling of papers during the pandemic, it guarantees the total protection of users' data, because the Embarque + Seguro 100% Digital Boarding System meets all the precepts of the LGPD", says Marcelo Sampaio.

Partnerships

Serpro is MInfra’s strategic partner in the country's transportation digital agenda, but Embarque + Seguro also has the collaboration of airlines and airports where the tests have been carried out, which has enabled the improvement of the project at each stage. The air shuttle pilot test is being implemented with the support of Infraero and Azul Linhas Aéreas; and the technology of facial identification stations was developed by Digicon, IDEMIA and Azul/Pacer companies.

IDEMIA, the global leader in Augmented Identity, provides a trusted environment enabling citizens and consumers alike to perform their daily critical activities (such as pay, connect and travel), in the physical as well as digital space.

Securing our identity has become mission critical in the world we live in today. By standing for Augmented Identity, an identity that ensures privacy and trust and guarantees secure, authenticated, and verifiable transactions, we reinvent the way we think, produce, use and protect one of our greatest assets – our identity – whether for individuals or for objects, whenever and wherever security matters. We provide Augmented Identity for international clients from Financial, Telecom, Identity, Public Security and IoT sectors. With close to 15,000 employees around the world, IDEMIA serves clients in 180 countries.

For more information, visit www.idemia.com / Follow @IdemiaGroup on Twitter


View source version on businesswire.com: https://www.businesswire.com/news/home/20210616005505/en/

Microsoft Joins Amazon, IBM in Stop Selling its Facial Recognition Software to Police

Microsoft has become the third big tech company this week to say it won't sell its facial recognition software to police, following similar moves by Amazon and IBM.

Microsoft's president and chief counsel, Brad Smith, announced the decision and called on Congress to regulate the technology during a Washington Post video event on Thursday.

"We've decided we will not sell facial recognition technology to police departments in the United States until we have a national law in place, grounded in human rights, that will govern this technology,” Smith said.

The trio of tech giants is stepping back from law-enforcement use of systems that have faced criticism for incorrectly identifying people with darker skin. Ongoing protests following the death of George Floyd have focused attention on racial injustice in the U.S. and how police use technology to track people.

But while all three companies are known for their work in developing artificial intelligence, including face recognition software, none is a major player in selling such technology to police. Smith said Thursday that Microsoft currently doesn't sell its face recognition software to any U.S. police departments.

He didn't say if that includes federal law enforcement agencies or police forces outside the U.S.

Several other companies that are less well known dominate the market for government facial recognition contracts in the U.S., including Tokyo-based NEC and the European companies Idemia and Gemalto.

Microsoft, Amazon and IBM are calling on Congress to set national rules over how police use facial recognition — something that's now being considered as part of a police reform package sparked by the protests following Floyd's death.

"If all of the responsible companies in the country cede this market to those that are not prepared to take a stand, we won't necessarily serve the national interest or the lives of the black and African American people of this nation well," Smith said. "We need Congress to act, not just tech companies alone.” (AP)

To Properly Implement Facial Recognition Tech, Need India-Specific Data: Infosys Co-Founder

As India plans to roll out a nationwide facial recognition system this year, Infosys co-founder Kris Gopalakrishnan believes that the country must develop its own databases for efficient implementation of breakthrough technologies that use artificial intelligence and machine learning.

A facial recognition system is a technology capable of identifying or verifying a person by analysing patterns based on the person's facial textures and shape.

Gopalakrishnan noted that India should carry out its own trials before implementing the facial recognition systems, as currently the algorithms used to train these mostly employ data of white men belonging to the Anglo-Saxon community, and it is unclear whether it will work properly in the country.

"We also need to look at biases. One of the reasons why I believe India must do research in artificial intelligence (AI) and machine learning (ML) particularly is because most of the databases that are used to train these systems which we use today are being trained with data which is not from India,” he told PTI in an interview on the sidelines of the Infosys Prize ceremony here.

Gopalakrishnan, who is also the trustee at Infosys Science Foundation (ISF), noted that AI is a tool which impacts every industry, including research.

The Infosys co-founder explained that AI and machine learning can be used to further leverage data to create new products, and new services like facial recognition, text translation, and diagnostics.

Facial recognition is typically used as access control in security systems, and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

The National Crime Records Bureau (NCRB) last year said the proposed facial recognition system will help catch criminals, and find missing children.

Asked about the concerns raised by activists and tech experts who warn of the risks to privacy and from increased surveillance, Gopalkrishnan said "we need to sit down and come out with ethics governing the facial recognition as it is an issue that the people all over the world are grappling with."

"We need to start building our own databases. Training databases must include sufficient data from India. It is a chicken and egg problem.

"Because when you have huge amount of data, if you want to leverage the computing power to analyse that data, and come out with patterns or inferences, machine learning is the tool to use to find the patterns for you," he said.

Gopalakrishnan added that a soft stance may be required to train Indians to use these systems, understand the implications, as well as the downside and go forward.

"There is a lot of debate about using facial recognition in even unlocking your phone, but now they are going back to biometrics or iris recognition because in some way the facial recognition didn't work as it should be,” he said.

"But we should be doing this work. Don't wait for somebody else's tool to come to India. We should start collecting our own data that is is very important,” he added.

Citing another example of AI and ML use, Gopalakrishnan said scientists can use standardized DNA sequencing databases, specific to India, to develop new molecules and treatment protocols, with these systems trained using this native data.

"We should be doing our own trials before deciding whether it works in India or not. The human being is as important as these tools because we make the decision to either not use the data, or to fine tune the data," Gopalakrishnan added.

Chennai-based Facial Recognition Startup VAANGO gets ₹ 2.1 Cr Funding, Selected for Upward Labs Accelerator

Facial recognition technology has been generating increasing buzz in the recent times. It has huge potential across sectors, as demand for fast and reliable identification and authentication keeps increasing. One particular market where its implementation is increasingly growing is the attendance management solutions space. The market is currently worth around $12 billion and growing aggressively, globally.

VAANGO, designed and developed by a Chennai-based product development startup is doing some exciting work here. VAANGO, combines Artificial Intelligence and Machine Learning with Facial Recognition to help manage the front desks of offices, IT parks, buildings and basically any place where there is constant inflow and outflow of people. This Chennai-designed and developed solution is currently deployed with multiple prominent customers across India.

VAANGO has been selected by Upward Labs, a technology accelerator based in Hartford, Connecticut, USA for its Spring cohort of 2019. Upward Labs is Connecticut’s first pilot lab for technology companies reshaping the future of smart buildings and aged care.
 
VAANGO is now working with eminent companies including Stanley Engineered Fastening, UBS, Hilton, Travelers, The Hartford, JLL, Cigna, Stanley Healthcare, Lexington, Shelbourne and several more businesses being a part of the accelerator program.

"We are extremely delighted to be part of Upward Labs and it is a great validation of our work with VAANGO, its strength as a solution and its immense potential,” states Bharadwaj PV, Co-founder, RIGPA Tech.

VAANGO currently offers two products - SMART Desk and FaceCheck. While SMART Desk manages front-desks, where it tracks entries and exits, FaceCheck tracks attendance. FaceCheck can be deployed as an on-premise, cloud or a video-based real time solution. Both the products use advanced facial recognition technology, ensuring 100% security and compliance.

"AI-powered facial recognition technology is proving to be the biggest disruptor in the attendance management space. We are excited to be in this fast-growing area and provide smart, intuitive, and easy-to-use tech solutions to our customers," says Senthil Kumar VC, Co-founder, RIGPA Tech.

~ Newsvoir

India Prepares for A Facial Recognition Tech-fused Future

Authorities in India have started discussions with various private companies about the potential of adopting facial recognition technology all across the 28 states. The idea behind this huge project from the government is to simplify the identification of criminals, missing children and even the deceased by the technology.

According to authorities, the implementation of this technology is going to shore up the issue that India is facing in terms of lack of staff in its police departments across its densely populated cities.

To bring it as an example, there are no more than 138 police officers per 100,000 citizens in India. If we try to compare it to the whole population, that’s not even 2 million staff. Consider the crime rate and we get an issue where there are simply not enough police officers in the country to respond to every report.

The facial recognition technology would allow the police force to narrow down and speed up their investigation process and concentrate the rate of success.

However, based on the reports of several tests that were conducted in the country, even the most sophisticated software used in counties like the United States and Great Brittain has a 2% chance of making the correct guess.

Regardless of the success rate, the Indian government is determined to continue its attempts at implementing the technology.

Similar developments in different countries

The most interesting case about this is that India is not the only country trying to implement such technology as fast as possible. There are other countries such as the United States, UK, China and Australia that are having heated debates on whether or not the facial recognition technology is moral or not.

The most interesting case of all is Australia as the country is trying to target a specific industry with this technology rather than ensure social security.

There have been talks in the Australian parliament that facial recognition technology should be applied to industries such as adult content and online gambling websites.

The argument behind the regulation is that these websites are constantly being accessed by underage Australians, thus defeating the purpose of having the 18+ law on them. According to the deputies that drafted this bill, the facial recognition technology would allow adult content and casino websites to check the facial structure of the person trying to gain access to the platform.

The software will be developed to identify the facial features of people under 18 as well as over 18. However, private companies are fearing that these technologies are not reliable in these cases simply because an underaged person can easily fool it. And giving access to underage users under such laws would warrant millions in fines and ultimately make these companies go broke.

Considering the data from Indian authorities that the success rate was only 2%, it’s likely that the software proposed by Australia is going to have similar issues.

What other issues does the software face in India?

Another issue that facial recognition could potentially face in India is the complex diversity of Indian nationals. The skin tone, facial structure and multiple ethnic minorities in the country could distort the accuracy of the software.

Furthermore, it’s not like India is knowns for the density of its CCTV cameras, which creates an issue of just having not enough footage to properly measure the success rate of the technology.

Even more, issues are created by existing CCTV cameras which are quickly losing their quality, thus displaying images that are simply impossible to read for the software.

Overall, if India wants to fully implement this new technology and transition to its rapid development, there are quite a lot of software issues they have to solve before they do so. But right now, the 100% implementation is still in debate, meaning that excessive speculation is just out of the question.

SensibleVision Brings AI-Driven Mobile Face Authentication in India

Florida, US-based SensibleVision, a global developer of AI-based biometric identification technologies, today announced that its innovative artificial intelligence (AI) driven face-authentication solution is now available in India and can be used as part of Aadhaar and other security protocols. SensibleVision technology is fundamentally different than other biometric tools, with its proprietary 3D technology enabling it to properly identify people regardless of skin tone, which has been a significant problem for many competitive technologies.

For over a dozen years, SensibleVision has been innovating in the face authentication space and has received seven patents in this area. Unlike other face recognition solutions, Sensible Vision uses true 3D depth sensing software to measure 10,000-15,000 depth data points. SensibleVision has a created a virtually spoof proof authentication that works in all lighting conditions that exceeds other implementations currently on the market. It can be used in conjunction with existing 2D enrollment databases.

“We are delighted to make our innovative authentication solution available to the Indian market,” said George Brostoff, CEO and Co-founder of Sensible Vision. “Fast, accurate face authentication in real world conditions dramatically increase the effectiveness of a wide range of applications from expanding access to financial services to improved delivery of social programs.”

SensibleVision’s extraordinary level of accuracy is achieved with techniques to measure faces in True 3D, using actual X, Y and Z coordinates. Unlike other solutions that are based on older 2D data or tested in academic settings, SensibleVision delivers fast and accurate results regardless of skin tone, gender, age or lightning conditions – criteria which have limited the effectiveness and accuracy of many of today’s biometric-based solutions.

Founded in 2005, by George Brostoff, SensibleVision is a global leader in multi-factor biometric-driven authentication technologies leveraging facial recognition. For more than a decade, their patented face authentication and continuous security technology has helped banks, technology companies and other organizations reduce fraud. Their flagship solutions offer quick and continuous authentication for computers, tablets, smartphones and mobile apps.

UIDAI to Roll Out Face Recognition for Aadhaar from Sep. 15

As an alternative for people having difficulty authenticating with Aadhaar's biometric authentication process, issuing body Unique Identification Authority of India (UIDAI) has finally announced that from 30th of September, the face recognition feature will be rolled out in phased manner, starting with telecom service providers.

Introduced as an option to the existing modes of authentication, face authentication feature will require specific instructions to be followed by authentication agencies other than telecom service providers (TSPs), said UIDAI.

A two-factor authentication has been propsed by UIDAI, for use of face recognition by TSPs. According to this, if an individual provides Aadhaar number, the authentication will be done using either fingerprint alone - or - iris and face together. For individuals providing Virtual ID, the authentication can be on basis of fingerprint or iris.

The authority had earlier planned to roll-out face recognition feature from July 1, but it was later delayed to August 1 due technicalities and other details of how the system will work in conjunction with existing options of authentication like fingerprint, iris scan or OTP.

According to UIDAI, various AUAs (Authentication User Agencies) were not in a position to implement face authentication with effect from August 1, 2018 as few of device providers were not ready for this and to avoid any inconvenience to the public it has been decided to roll out the face authentication in a phased manner.

Additionally, the UIDAI also said that 'live face photo' capture and its verification with the photo obtained in eKYC will be essential in those cases where Aadhaar is used for issuance of mobile SIM cards. With this, the authority aims to curb the possibility of fingerprint spoofing or cloning, and seeks to tighten the audit process and security around issuance and activation of mobile SIMs. Inn June this year, a Hyderabad-based mobile SIM card distributor had forged Aadhaar details for activating thousands of SIM cards.

Live Face Photo is a live feed of the person whose 12-digit unique Aadhaar number is submitted.

Related - India's IIS and NIT Develops AI To Identify Protesters With Their Faces Partly Covered With Scarves or Hat

"This instruction (for matching live face photo with eKYC photo) will apply only where Aadhaar is used for issuance of SIMs. As per Telecom Department's instructions, if SIM is issued through other means without Aadhaar, then these instructions will not apply," UIDAI CEO Ajay Bhushan Pandey told PTI.

UIDAI has also proposed a monetary disincentive, a financial disadvantage, for telcos found slipping on the prescribed targets from the middle of next month.

UIDAI had already announced that it will provide Software Development Kits (SDKs)/Registered Device (RD) services in various operating systems, required to implement face recognition system authentication.

Since face photo is already available in UIDAI database there is no need to capture any new reference data at UIDAI Central Identifies Data Repository (CIDR) for verification.

Source - The Hindu

[Top Image - Trulioo Blog via - IriTech.com]

Govt & Transportation Sector to Generate High Demand for Facial Recognition By 2023 - Report

Growing 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, says a report by TechSci Research, a research based global management consulting firm.

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.

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.

Related Reading - India's IIS and NIT Develops AI To Identify Protesters With Their Faces Partly Covered With Scarves or Hat

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.

The report 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.


[Top Image - Evolving-Science.com]