Best Facial Recognition Solution
360Quadrants recognizes the below-listed companies as the best facial recognition solution -
Top 10 Facial Recognition Softwares 2020:
- NEC Corporation
- Aware Corporation
- Ayonix Face Technologies
- Gemalto (Thales Group)
- Megvii Inc
- Cognitec Systems
Facial Recognition Overview
Facial recognition is a software application that enables biometric devices to identify individuals. The biometric software is used to scan, store, identify, and verify human faces by associating the digital images with those saved in databases. Facial recognition allows the identification of a person by comparing the person’s image with that stored in the database, thus providing a high level of security. Facial recognition technology uses various types of software, such as 2D facial recognition software, 3D facial recognition software, and thermal face recognition software.
The global facial recognition solution market is expected to grow from USD 4.05 Billion in 2017 to USD 7.76 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 13.9%. The growth of the global market is expected to be driven by various factors, such as the increased need for enhanced surveillance and monitoring at public places and the increase in the use of facial recognition technologies in industries, such as the government.
The increasing rate of fraudulent actions, terror-related activities, cybercrimes, and illegal trespassing has led to an exponential rise in the need for advanced biometric authentication and fraud detection systems. These developments have cumulatively substantiated the need for facial recognition technologies to be embedded within surveillance systems for enhanced security measures as well as secured computing experience, thereby monitoring potential vulnerable areas.
Apart from security, the facial recognition technology has rapidly established its need in the areas of marketing and advertising campaigns for capturing emotions from customers and providing in-depth analysis of various human emotional states. The facial recognition solution suite comprises a combination of various software tools, including 3D, 2D, and facial analytics, for enhanced feature extraction. These software tools are based on effective implementation of the following technology platforms: facial recognition software and Software Development Kit (SDK), middleware, databases, analytics, and modeling and restructuring.
Smart cities are gaining traction globally, due to huge investments in infrastructure. These investments have also bolstered the need for surveillance systems across intersections, commercial buildings, and public areas in cities. Collaboration with major system integrators for the implementation of large-scale security solutions in these smart city projects will act as an ideal growth strategy for facial recognition vendors in the long run.
The facial recognition technology is gradually proving itself as a potential technology for authentication and identification, apart from a range of other applications in almost all industry verticals. It is predicted to become as ubiquitous as the fingerprint technology. The technology not only helps in facial detection, but also in refining search engine searches based on facial images; identifying age, sex, and ethnicity of a person in retail stores; gathering intelligence on buying and traffic pattern in various retail shops; identifying missing persons in riots or sport events; and recognizing emotions from facial expressions to study consumer behavior and many gaming applications.
20 companies offering top facial recognition solutions were analyzed, shortlisted and categorized on a quadrant under Visionary Leaders, Innovators, Dynamic Differentiators, and Emerging Companies to identified best facial recognition solution providers.
The competitive leadership mapping (Quadrant) showcased below provides information for 20 top facial recognition solutions. Vendor evaluations are based on two broad categories: product offering and business strategy. Each category carries various criteria, based on which vendors have been evaluated. The evaluation criteria considered under product offerings include the breadth of offering, delivery (based on industries that the vendors cater to, deployment models, and subscriptions), features/functionality, delivery, product quality and reliability, and product differentiation. The evaluation criteria considered under business strategy include geographic footprint (on the basis of geographic presence), channel strategy and fit, vision alignment, and effectiveness of growth (on the basis of innovations, partnerships, collaborations, and acquisitions).
Vendors who fall into this category receive high scores for most of the evaluation criteria. They have a strong and established product portfolio and a very strong market presence. They provide mature and reputable data integration tools. They also have strong business strategies. The best facial recognition visionary leaders include 3M Company, NEC, IDEMIA, Aware, and Gemalto.
The dynamic differentiator's category includes established vendors with very strong business strategies. However, they need to focus on their product portfolio. Vendors such as Herta Security, Megvii Inc and Innovatrics are considered as the best facial recognition vendors in this market.
Innovators in the MicroQuadrant are the vendors who have demonstrated substantial product innovations as compared to their competitors. They have very focused product portfolios. However, they need to invest in their growth strategies for their overall businesses. Animetrics, Ayonix , Cognitec Systems, Herta Security, Techno Brain, Neurotechnology, Crossmatch, and Visage Technologies are recognized as some of the top facial recognition innovators.
KeyLemon, Daon, nViso, FaceFirst, Kairos, GRIAULE BIOMETRICS, Aurora Computer Services Limited, IMAGUS TECHNOLOGY, Fulcrum Biometrics and Face-Six are recognized as the emerging players in the facial recognition market. The emerging players specialize in offering highly niche solutions and services. They do not have strong business strategies as compared to established vendors.
Why should you use Facial Recognition Solution?
As the need for security is becoming more prominent governments and organizations are looking for more ways to protect their data and rights. With the development in AI, it is now possible to increase security of assets and people. Facial recognition solution provides enhanced security as it uses a person’s facial features or an objects specific structure as an identity for recognition making it difficult to fool the system.
Some top facial recognition solutions enable organizations to use the software as a means of advertising and marketing. Facial Recognition Solutions deployed in shops and departmental stores helps in identifying shopping trends of people as per their age group, gender, and other criteria and uses the intel to advertise their products.
Facial recognition solutions also help security checks to be done faster and with more ease making it a convenient option than traditional security checks. Individual only need to look into the camera to verify their identity instead of providing a number of documents which need to verify for authenticity.
Not only does facial recognition provide security it also helps in the prevention of crimes. A good facial recognition solution can store photos and videos of criminals, drug dealers, and terrorists. This can help law enforcement ID them though CCVT’s set up at various places or if they are pulled in for any minor infractions such as traffic violations.
Who uses Facial Recognition Solution?
The use of facial recognition solution was limited to certain organizations including federal agencies, security providing organizations and state investigation organizations. This scenario has now changed, and many other organizations are implementing the facial recognition technology for enhanced monitoring and control, better security and safety and supplementary value addition.
Facial Recognition solution is mainly used by law enforcement agencies and security personnel for identifying criminals and fraudsters easily, safer and smarter patrolling and accelerating forensic video investigations.
Facial recognition software is also used by various offices, buildings, and organizations for access control. It proves to be an imperative tool in data centers with high security and restricted areas. Access is provided through face biometrics.
Schools and colleges use facial recognition solutions not only for safety but also to track attendance. Many hi-end schools now have their study content uploaded on tablets, laptops or desktops. To access the content facial recognition is used. This prevents students from skipping lectures.
Top 5 Features of a Good Facial Recognition Solution
Some of the features of the best facial recognition solution are –
Identification – Facial recognition solutions enables users to identify a person or an object.
Detection – Facial recognition software enables users to identify faces in photos.
Security – The software allows users to verify the identity of a person and control access.
Database – A good facial recognition solution highly depends on the database that is built and stored.
Scalability – Organizations should have the ability to install their solutions across locations and manage the handling of equipment such as cameras, lighting, angel, etc.
Unlock Phones – Tesco is working on building screens at gas stations to recognize faces and use the intel for targeted marketing and advertising.
Registration Made Easy – KW used the Zenus facial recognition solution for registration and check-in. Registrants were invited to submit their headshots during the online registration process. This enabled a fast and smooth registration process.
Missing Persons – Facial recognition solutions can help law enforcement identify missing persons or victims of human trafficking via cameras installed at airports, stations crossings, etc, as long as individuals’ faces are uploaded to the database.
Replace Car Keys – Firms are working on installing facial recognition solution to identify drives through facial biometrics. Car users will need not have to carry keys or worry about car thefts.
Help the Blind – Listerine has developed a facial recognition solution that allows blind people to understand when people are smiling in a social situations. The blind people receive a vibration or a beep on their phone when a person smiles. The phone's camera is used to detect the smiles.
USE CASE: SCENARIO 1
Project Objective: To deploy a facial recognition solution, which checks hundreds of attendees ina short period of time.
Description: Spring Masterminds is an official Keller Williams (KW) event hosted annually by KW MAPS coaching. The KW team organizes several large conferences each year and needed a solution that checks hundreds of attendees in a short period of time.
Solution: KW used the Zenus face recognition service for registration and check-in. Registrants were invited to submit their headshots during the online registration process. A few follow-up emails helped boost the opt-in rate.
Benefits: One in two attendees participated in the program. Attendees were amazed by the fast and smooth check-in process. The facial recognition speed was less than a second, and the total transaction time was on average 9 seconds.
USE CASE: SCENARIO 2
Project Objective: To provide a contract to a single provider capable of supplying online facial authentication in as many countries as possible, while reducing overheads in terms of costs and resources of its legacy in-house systems.
Description: Fellow Finance is a Finland-based progressive and innovative crowdfunding organization for people and businesses. Prior to partnering with Signicat, online customer authentication was achieved through in-house integration with the Finnish TUPAS system. It resulted in maintaining technical interfaces and contracts with multiple banks, which was time-consuming, expensive, and resource-intensive.
Solution: Signicat started by assessing Fellow Finance’s core challenges. It started working closely with key stakeholders and decided to offer a customer identification solution; hence, it provided Signicat’s Customer IdentificationSolution to Fellow Finance.
Benefits: By implementing a customer identification solution, Fellow Finance and its stakeholders got desired outcomes and subsequently onboarded this solution in Finland and Denmark. They also planned to launch the same solution in Sweden and Estonia
USE CASE: SCENARIO 3
Project Objective: To implement a solution, which enables customers to open a bank account to change customer preferences for buying a product through an app by eliminating the need to visit a physical branch as well as provide security to the biometric information of customers.
Description: The Siam Commercial Bank (SCB) provides a leading online banking platform for Thailand’s increased digitalized financial industry. SCB wanted to be the first bank in the region to let customers open an account through its SCBEASY mobile banking application securely. SCB also needed to ensure the security of its face recognition solution in 2 key areas. Firstly, the identification process must provide complete assurance of a person’s identity, and secondly, the data security was most important to ensure biometric information is not stolen or modified during the identification process. For achieving this, NEC provided SCB with its secure face recognition software.
Solution: To utilize this solution and open an account, a customer downloads SCB EASYapp and scans an official form of identification, such as a passport, and then the customer is prompted to take selfies using their mobile camera. NEC’ssecure face recognition software solution then analyzes customers' faces and extracts facial features, matching feature points with the database to identify the person who is applying for the new account. The solution matches his/her face with the picture in the official document, such as a passport. The solution also checks for liveness of an image for preventing fraud.
Benefits: After implementing NEC’s secure face recognition software, in 2018, there were approximately 9 million customers on SCB EASY mobile banking app with its high regular usage, ranging from paying a bill, getting a credit card, buying mutual funds, and many more. NEC’s solution offered a highly secure and streamlined solution to SCB’s customers. Digital transactions were raised, reaching up to 95% cheaper than in-person transactions.
How Facial Recognition Solution Works?
Step One – A 2D photo or 3D photo of a person is captured. A person must be facing the camera for a clear analysis and study of the facial features. A 90-degree angle is recommended. A poor degree of angle can render the software ineffective.
Step Two – Once the image of the individual is captured, facial recognition solution software analysis the structure of the face. A human face has typical 80 distinguishing points and features known as nodal points. Some of the major points are the
· The distance between the eyes
· The length of the nose
· The depth of the eye sockets
· The shape of the cheekbones
· the length of the jawline
Step Three – Once this data is analyzed and collected, the facial recognition solution software then translates the data into a unique code and assigns a faceprint. Each faceprint is unique just like a fingerprint.
Step Four – The faceprint is then used to scan an existing database of photos and videos and match the faceprint with a photo of the same structure and facial features.
Choosing the best Facial Recognition Solution
Infrastructure – The most important aspect to consider while installing facial recognition software is the infrastructure required. Businesses need to identify the current security set up, the location and the exact business needs before they invest in any facial recognition software. If a business does not have any existing security measures in place one can consider setting up facial recognition software from the ground up, else it would be better to choose facial recognition with features that supplement the existing setup. A support team may also be required if the solution needs to be implemented on a large scale.
Hardware – It is necessary to consider the hardware required to set up a facial recognition solution. Depending on the need, organizations may just require a mobile phone, or an entire arrangement may be required i.e. camera’s, connectivity, lighting, etc. If an angle of a camera is not set up accurately or if there are connectivity issues, the software may not capture the facial details and not be able to analyze the nodal points effectively. Similarly, if the lighting in the area is dim the software needs to pick up the facial features of the person accurately.
Database – Some of the best facial recognition solutions need to have a strong database. It is important to consider this before buying a software. Many software do not allow you to store information or have a limited memory space. If the software needs to run on continuous bases it is necessary to have enough memory space to store information. A good software should also have the flexibility to build the database according to business requirements.
Capabilities and Function – Depending on the use and business need, the facial recognition solution you choose to invest in should be able to identify each individual person among the crowd, if there are several visitors entering the premises. It should also have the functionality to sound an alarm if it notes any suspicious activity or is unable to identify a face. It should be able to distinguish between a real individual and a photo or cardboard cutout of a face.
Budget – It is important to consider the budget while looking for a good facial recognition software. The more functionality you need the more expensive the cost. It is necessary to check out both the hardware and software cost and any support function cost such as monitoring teams etc. Many a times development costs and the software will be cheap; however, hardware costs will be high. Always ask for a total cost including hardware, software, development and post-service usage.
Return on Investment – All businesses do not require facial recognition software. It is important to consider the return from installing such infrastructure. Facial recognition software can be of great advantage in high security-related facilitates such as prisons, restricted areas, hospitals. It can also be of great advantage to law enforcement if set up at crossroads. However, if you run a small operation, then a less expensive option may be better.
Facial Recognition Solution – By Application
By application area, the facial recognition market has been mainly categorized segregated into emotion recognition, attendance tracking and monitoring, access control, law enforcement’s and others. Over the past decade, many major technology players have acquired companies operating in the facial recognition domain to add value to their own services. Due to the advantage of the non-contact process, the face recognition technology has received more attention than biometrics systems using fingerprint/palm print and iris recognition. Owning to increasing security threats around the globe, law enforcement including surveillance and monitoring area is considered to be one of the most important use cases of facial recognition technologies.
Emotion recognition is one of the many application areas where the facial recognition solution is used to monitor common facial emotions, such as contempt, disgust, happiness, surprise, indifference, anger, fear, and sadness. Facial detection products incorporate ML and micro-expression detection to enable accurate measurement of emotional engagement and effectiveness on the target audience.For example, if someone has a furrowed brow and pursed lips, it means they are enraged. If their eyes are wide, their eyebrows are raised, and their mouth is stretched, it means they are afraid, and so on. The basic summary is that emotions are expressed in a variety of ways, which makes it hard to reliably infer how someone feels from a simple set of facial movements.
Attendance Tracking and Monitoring
The facial recognition-based attendance tracking is being increasingly used in academic institutes and corporate offices to avoid errors in a manual entry or prevent tailgating and attendance related payroll issues. Additionally, in case of large events or gatherings, real-time face identification and tallying based on guests’ face ID in database can help provide better service, accommodation, and/or crowd management in case of incidents.
The web camera with in-build facial recognition capabilities captures the image. Facial images stored in the database are compared with the detected faces for attendance tracking and monitoring activities. Academic institutions and corporate offices are the major users of attendance tracking and monitoring application for facial recognition. The user base is fast-growing with the monitoring systems being synced with Enterprise Resource Planning (ERP) and human resource management systems.
Biometric access control is the perfect solution for controlling user access to physical locations, such as buildings, offices, data centers, and restricted areas. Face biometrics is used to identify a user from access control lists and verify their identity. Facial recognition-based access control enables user management at runtime and enables users to be enrolled on-the-fly by video capture. Moreover, it does not enable users to be impersonated using photographs. Access control is a solution that is required in all fields and scales as a basic element of security. From research institutes, data centres, and secure areas to factories, apartments, offices, construction sites, hospitals, schools, and banks, it is widely used at places that are trying to physically protect property or information from unauthorized people.
Though fingerprint has been preferred and is the most popular biometrics for access control; however, the availability of number of choices for credentials using biometrics has bolstered the growth of facial recognition technology for access control. Moreover, added features of liveliness detection further substantiates the authenticity of using facial recognition-based access control solutions.
The facial recognition technology, along with video surveillance systems, has been a major supplement to various law enforcement agencies and security personnel for identifying criminals and fraudsters easily, safer and smarter patrolling, and accelerating forensic video investigations. Facial recognition has been a useful tool to analyze surveillance footage in real-time and locating wanted fugitives in a crowd or identifying terrorist suspects at border controls. According to American Bar Association, facial recognition has contributed to establishing probable cause for the arrest of suspected activity of assailants in videos of fights posted on social media, such as YouTube, and in identifying frauds and theft cases.
However, the overall usefulness of facial recognition for law enforcement agencies continues to bolster the growth of this application area. Police officers in China are using smart glasses with facial recognition to catch criminals in a railway station in Hanan. The technology is widely prevalent and continues to be in demand from most of the law enforcement agencies who are proponents of the technology, downplaying facial recognition’s power as a privacy-invasive tech, and highlighting the potential benefits to crack open cold criminal cases or to reunite families.
Other Application Areas
The other application areas include robotics and eLearning. In robotics, facial recognition technology is specifically used by customer service robots. The robot can identify known customers and determine demographic information related to their age and gender. Robots also detect emotion, which enables them to have more meaningful interactions with humans.
Online learning provides a diversity of effective and efficient benefits compared to traditional education. Facial biometrics contributes competitive authentication methods and advances while ensuring reliability and effectiveness to eLearning systems. The facial biometrics is recommended to ensure the user is authentic. This, in turn, would provide the effective authentication method for learners and reduce the probability of cheating and other user authentication anomalies.
Facial Recognition Solution - By Vertical
Based on verticals, the facial recognition market is segmented into BFSI, government and defense, retail and eCommerce, healthcare, education, automotive, and others (manufacturing, telecom, and energy and utilities). The increased government and defense investments in implementing facial recognition technology for various activities, such as border control and criminal identification, are driving the adoption of the facial recognition technology market. Facial recognition eases the process of identification and verification; hence it is widely getting adopted for immigration at airports and attendance tracking and monitoring. The increasing technological advancements across sectors are encouraging enterprises to adopt facial recognition tools and services for easier manual processing and time-saving.
Banking, Financial Services and Insurance
People use different passwords for different accounts which makes the login procedure complex. Moreover, creating a complex password can make it easier to forget and when a banking customer requests a temporary code via email to reset it, then a hacker can intercept the inbox. Despite an increase in the use of EMV cards with password creation policies, there has been a surge in banking fraud cases.
As a result of the billions that are lost due to frauds, such as identity theft and hacking by major banking institutions, the demand for replacing traditional log-in methods with biometric facial recognition is gaining traction. It means that banking software would rely on face scans, which it then compares with similar ones that were uploaded by the bank’s personnel into their system to verify the customer’s identity. The aim is to authenticate the identity and allow a transaction only if the account owner’s identity is positively identified.
The biometric software only authenticates a customer based on who they are. Hence, this makes it easier for a banking customer to transact online on a mobile device by using a device that has authorized access and secondly by using a live facial image of themselves via the phone’s camera. The facial recognition software has a liveness detection, which prevents hackers from using a picture of the customer for impersonation purposes.
Government and Defense
The government and defense vertical has started to invest more in facial recognition technology for various applications. 3D facial recognition software can analyze, identify, and verify the facial characteristics of individuals. It overcomes the drawbacks of 2D facial recognition and can work in low light or completely dark areas. Hence, the 3D facial recognition technology is used mostly in identifying and verifying suspected criminals, providing smarter and safer highway patrolling, accelerating forensic video investigations, border control for preventing terrorist activities, cross-border monitoring, document verification, and identity management. These applications of facial recognition are gaining traction across the globe. Various countries, such as the US, Canada, UK, and China, have started implementing this technology for various applications.
The use of facial recognition gives a minimum error because faces are defined and stored in databases. The implementation of facial recognition technology has seen an increase since the last few years. Hence, the government and defense vertical across countries have planned and implemented various activities on the basis of facial recognition, for example, border control, criminal identification, and forensic video analytics.
Retail and Ecommerce
The facial recognition technology is being used in the retail and eCommerce industries for easy payments as well as to prevent organized retail crime. It is impossible to remember the names and faces of all known retail criminals, due to which professionals who are trying to prevent such crimes are not being able to avoid such incidents happening in the retail industry. Face recognition can help retailers proactively prevent organized retail crimes. The facial recognition technology-based system can instantly alert retail security the moment someone enters a store resembling a documented retail criminal.
Facial recognition can also keep stores safer. Face recognition empowers security by preventing crimes before they occur. Face recognition improves retail customer experiences by instantly recognizing VIP customers who opt-in. Retailers can send tailored text messages to customers in stores that offer recommendations, discounts, and other offers. According to a NewMark Merrill report, few US shopping centers are using facial recognition technology that detects customers' facial features and their paths of travel, along with AI, to mine that data to assess traffic patterns, employee performance, and consumer reaction to marketing.
Accurate patient identification in hospitals has always been a subject of discussion and recently gained momentum due to the rapid digitization of the healthcare vertical. The facial recognition technology in healthcare settings has been developed to identify and monitor patients as well as to diagnose genetic, medical, and behavioral conditions. One of the reasons for facial recognition gaining momentum in healthcare is due to improvements in AI, which has made it possible to use the technology in different ways. AI-powered face recognition systems have helped healthcare professionals to consider using technology in several ways that go beyond security purposes. Real-time emotion detection is yet another valuable application of face recognition in healthcare.
Facial recognition is also used in analyzing the emotions of patients, check them for genetic disorders and other diseases, and assign the patients to concerned doctors. While doing so, facial recognition can also check patients for signs of depression and inform doctor of such a possibility. It can be used to detect several emotions patients exhibit during their stay in the facility and analyze the data to determine how they are feeling. The results of the analysis may help identify where the patients need more attention in case they are in pain or sad. Hence, we can say that facial detection can be used for earlier detection and treatment of disorders.
In the education industry, facial recognition technology is mainly used in attendance tracking and monitoring. Attendance tracking is a tedious process and if facial recognition is used for attendance tracking, then according to the developers, the technology promises to save teachers up to 2.5 hours a week by replacing the need for them to mark the roll at the start of every class. Facial recognition helps security officials archive and identify certain students who have been suspended, do not belong on school grounds, or who may pose some sort of threat.
The enhancements in facial recognition software are also moving closer to accurate object recognition, which would help security personnel identify someone with a rifle, or a long gun, or a handgun. This future capability would greatly advance the ability to minimize threats. Even though implementing facial recognition technology in schools is facing backlash by students and their parents, different schools are in favor of this technology and are planning to implement it across the globe.
The face recognition technology entered the automotive industry in 2008. Since then, the major improvements related to safety by monitoring driver fatigue and lack of attention are carried out. The facial recognition system has the capacity to bring various useful features for increased convenience. According to TeenSafe, 80% of car crashes are due to the driver not paying attention or being distracted. A typical system monitors eye blinking, facial expressions, and head movements. If any signs are obtained from the driver being drowsy or inattentive, the facial recognition system sends some visual or audible alerts to get back the driver’s attention. If the driver ignores earlier warnings, the system might initiate automatic emergency stopping of the car. Moreover, this biometric technology can assist in not only avoiding car accidents but in preventing car thefts as well.
New Product Launches and Product Enhancements
In December 2019, IDEMIA introduced ID2Travel which is a solution to streamline passenger throughput at airports.
In November 2019, IDEMIA partnered with Nagelmackersbank and launched the very first metal card in Belgium.
In September 2019, IDEMIA released MFace Flex which is a frictionless facial biometric solution to simplify user experience and crowd flow for seamless travel at high traffic locations.
In July 2019, Ayonix released facial recognition SDK for the Android platform. The SDK runs multiple algorithms for detecting faces and eyes in images, for tracking faces in video streams and for analyzing and checking face characteristics to support a total face recognition solution.
In July 2019, Daon launched next-generation digital onboarding which includes intelligent anti-spoofing and fully browser-based experience.
In June 2019, Ayonix launched AI cam platform for facial recognition. With the AICam Platform, the face can be matched and alert a client within 50 milliseconds with nearly flawless accuracy. The AICam is powered by Ayonix’s industry-leading face recognition engine.
Partnerships And Collaborations
In November 2019, NEC partnered with INTERPOL to strengthen cybersecurity by analyzing complex and sophisticated cybercrimes.
In November 2019, IDEMIA collaborated with Oklahoma to deploy mobile phone-based driver’s license
In November 2019, The Malawi Department of immigration and citizenship services e-visa services in collaboration with TechnoBrain
In October 2019, IDEMIA and Mobeewave extended partnership to deploy secure mobile point of sale and fare validation across Australia.
In October 2019, Daon, AU10TIX and Kingland joined nice actimize’s X-sight marketplace which is the industry’s first financial crime management ecosystem.
In September 2019, IDEMIA and Zwipe have signed an exclusive partnership and distribution agreement that sees the two companies co-investing in the development of a disruptive biometric payment card platform.
In August 2019,Thales collaborated with Thailand government to deploy identity verification solutions with innovative e-passports.
In July 2019,NEC signed an agreement with the Star Alliance airline network to “develop a biometric data-based identification platform. The system is expected to be introduced by the first quarter of 2020 and will only be available to people who are part of a Star Alliance frequent flyer program. NEC said that data such as photos would be encrypted and “safely stored” in the platform.
In July 2019,The Netherlands Vehicle Authority (RDW) deployed Cognitec’s biometric facial recognition technology to support its digital platform for driver’s license renewal.
Mergers And Acquisitions
In January 2018, IDEMIA acquired Otono Networks and its industry-leading eSIM orchestration technology. Together, IDEMIA and Otono will offer a comprehensive eSIM lifecycle management solution to simplify the adoption of eSIM for both mobile operators (MNOs) and device manufacturers (OEMs).
In January 2018, Stereovision imaging acquired Digital Signal corporation, a leading provider of structured debt products to technology and life sciences company.
Trends and Facts in 2020
- Factors such as an increase in surveillance and rising government and defense deployment have contributed to the facial recognition ecosystem.
- The adoption of cloud-based technology provides a further boost to the market.
- The law enforcement segment is the largest shareholder of the facial recognition software market.
- North America is considered as the most matured market in terms of adoption of facial recognition solutions.
NEC offers NeoFace suite for facial recognition. It provides quick and accurate matching and is the most resistant to variants in ageing, race and pose angle. It is designed to integrate with existing surveillance systems by extracting faces in real time from existing video surveillance systems and matching against a watch list of individuals. When the system identifies an individual of interest from the watch list, it raises an alert, so appropriate actions can be taken rapidly to reduce the risk of public safety threats.
IDEMIA 3D Face, a facial recognition solution provides pioneering technology that can accurately calculate face geometry in 3D using the invisible light of an infrared camera, providing unrivaled levels of security. The solution also offers an ideal user experience, combining convenience, reliable recognition and comprehensive security. It ensures an improved and accurate biometric authentication that combines speed and robustness. It calculates the precise 3D geometry of the face captured by a dedicated 3D sensor. The unique facial features of the user are then compared with the ones already stored in the device for instant matching.
Ayonix FaceID SDK detects human faces from all digital media types (image or video) and quickly matches identity if there is a record of the person. It’s a pioneering facial recognition software that is specially designed to be integrated into existing or new applications. The SDK covers registration, verification, and identification. Moreover, the software enables us to run multiple algorithms for detecting faces and eyes in images, for tracking faces in video streams that help in analyzing and checking face characteristics to support a total face recognition solution.
LFIS is Gemalto's ground-breaking biometric face recognition solution. Its extraordinary algorithm based on deep neural networks confirms efficiency and accuracy for face detection, tracking, and recognition. LFIS is capable to process videos in both live or replay for identifying people in a non-intrusive way, without the involvement of any operator. LFIS ensures to be integrated to third-party solutions such as border and travel management, access control, ID check, security/video surveillance, etc, which is possible due to its system-integrators friendly design and its high scalability.
Sightcorp offers exclusive AI Software solutions through computer vision, deep learning and machine learning. It can recognize and analyze faces in images, videos, and in real-life environments.
Face++ is a facial recognition platform that detects and locates human faces within an image and returns high-precision face bounding boxes. Face++ also permits users to store metadata of each detected face for future use. It enables users to pass the face token to other APIs for further processing. Detect API lets users to get back face landmarks and attributes for the top 5 largest detected faces.
Cognitec’s FaceVACS Engine allows clients worldwide to develop new face recognition applications. It provides a clear and logical API for easy integration in other software programs. The company offers the FaceVACS Engine through customized software development kits, with a set of functions and modules specific to each use case and computing platform, and based on tailored software licensing agreements. Such specific use cases include- image quality check, verification for document issuance, and verification for access control.
SmartFace is an advanced, scalable, face recognition server platform able to process multiple real-time video streams in parallel. Leveraging Innovatrics' industry leading algorithm, SmartFace permits system integrators to easily combine face recognition into their solutions.
SecuRegister offers a flexible“plug-in” approach thus, making a layered, highly modular framework. It integrates performance and scalability to provide bio metric identification technology services. SecuRegister attains best performance whether delivered as part of traditional on-premise client server computing solutions, or embedded in cloud-based services.
BioSurveillance, Herta’s essential solution is a facial recognition solution specially designed for the simultaneous identification of subjects. The solution detects multiple faces in real-time, incorporates on-the-fly video registration, identifies previously trained individuals, and facilitates run-time management of alarms and individuals. This technology yields excellent performance despite partial obstructions of the face, use of glasses, caps, changes in facial expression, difficult illumination conditions and moderate rotations of the face.
VeriLook facial identification technology is made for biometric systems developers and integrators. The technology guarantees system performance and reliability with live face detection, simultaneous multiple face recognition and fast face matching in 1-to-1 and 1-to-many modes. It is available as a software development kit that allows the development of stand-alone and Web-based solutions on Microsoft Windows, Linux, macOS, iOS and Android platforms.
FaceFirst provides seamless experiences with secure transactions that instantly validate customer and service provider identities online or offline. Its face recognition API and SDK permit easy integration with a variety of third-party systems.
Daon’s IdentityX is a multi-modal, vendor agnostic and future-proof identity services platform that addresses the full customer identity lifecycle. The key to trust in digital identity is a unified, user-centric view of identity creation, use, and management. The platform incorporates multiple facial recognition approaches that enable organizations to be flexible in the way they incorporate facial recognition into their systems.
SmilePass is a advanced cloud-based biometric security solution that supports insurers and financial services providers protect both the companies and their customers from social engineering, fraud, and theft. This flexible solution aims to reduce theft-related costs and build customer trust.
The SVI software suite, together with its proprietary true 3D imaging technology, allows governments and organizations to perform facial recognition with the highest accuracy available. The software enrolls the identities using high precision biometrics or enhancing existing public and private datasets. Analyzes events and patterns of unlimited identity data sources to provide valuable insights.
Facephi easy integration permits the client to implement a single component, several or all of those that form it, thus giving greater coverage to the end user, respecting all the areas in which he can use them. It is a blend of biometric systems and other security systems that create a comprehensive digital integration and identity authentication solution that permits access, verification and operation of different services and products in mobile and web applications.