Why Industries are adopting Face Recognition Technology as a game-changer

India is currently one of the fastest growing economies in the World. One of the hallmarks of success for the Indian Industry leaders have always been about how they cope up with a fast changing environment. In recent times, technology has been a key differentiator to determine who stays ahead in the race. To adapt to and proactively adopt newer technologies in the fast-changing technical landscape has become a key ingredient for success for the present-day Industry leaders.

Many of the new technologies and innovation have been horizontal in nature, meaning they have applications across multiple sectors and industries. Technologies like Internet, Bluetooth, IOT, 3D Printing etc have never been sector or a use-case specific, but brought revolutionary changes across various Industries that optimized existing businesses, addressed pain points that have not been addressed before and enabled industries to cater to various adjacent use-cases that remained unaddressed earlier.

Face recognition is a similar technology that has been horizontal in nature. Innovators in various industries have been trying to understand the fitment of this revolutionary image processing technology in their specific landscape. The questions they are pondering over are : Why Face Recognition Technology for them? How can it bring real impact?

Leaders tend to see new technology as magic wand to resolve multiple existing challenges. They ideate regarding the new doors that can open using new technology and use their domain expertise to understand what business problems the new technology can solve in their specific sector. Few of such examples would be like how Portable Face Biometric Technology has made a significant impact in eradicating subsidy leakage problem from various social welfare programs, as well as increasing the revenues of companies where on-field sales and marketing activities have a strong impact on the company’s balance sheet.

Leaders also identify what are the next best alternatives to the new Technology and then identify gaps in these available alternatives and explore to what extent new technology can plug those gaps. Verifying bank users and beneficiaries with their Facial imprints in existing databases like UIDAI (Aadhaar Cards), recognizing valuable customers when they walk into the Stores are few examples where existing alternatives were not able to address the gaps, which have been addressed by Portable Face Biometric Technology now.

Portable Face Biometric Technology is one of the most mature and reliable flavours of Face Recognition Technology and is available in the form of Smartphone based Face Recognition, Verification and Tracking system(SFRVTS). This Face recognition Technology identifies faces in images captured from any photo capturing devices like IP Camera, Tablet, WebCam, Mobile Phones etcIt handles effectively the cases of pose variations and lighting alterations during taking pictures, along with facial changes of an individual over a period of time.

We have attempted to compare this Smartphone based face recognition, verification and tracking solution (SFRVTS) on various parameters with competing technologies like Fingerprint scanner, USB based Fingerprint hardware, Iris scanner, first generation facial scanners, Log in & Log out based portals etc to understand comparatively the quantum of benefits it provides in various operational dynamics, various use cases along with features. Here is the comparison table:

For the Innovators & Decision Makers
Use case
Legends
For the problem solvers
Features
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While this is a small roundup of the Use-Cases and features of Face Recognition technology and similar technologies/options in action, we would love to hear from you if there have been any glaring omission.
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World’s Top 10 Usage of Face Recognition Technology #2015

Research in recent face recognition technologies seem to suggest that it is challenging to fake the identity of the person even after a facial surgery (though, we find that hard to believe) because they make use of something called as ‘nodes’ (around 600 nodes for every face) of the facial structure, which these techniques claim, remains unique to each person – dead or alive.

Face recognition has its distinct advantage of being non-contact in nature compared to the other well-known bio metrics. A distant webcam/ video recorder and off lately smart phones, are capturing details required for bio metric systems that use Face Recognition, without any extra effort required by the people whose biometrics are being captured. Coming to think of it, this is in itself is a revolution in terms of the technological advancements that have taken place to enable such a seamless biometric operation to take place.

We have seen that face recognition technology backed products are becoming part of the mainstream. Here are a few use cases of face recognition technology being used to impact societies across different geographies:

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      1. New York & New Jersey, USA: New York and New Jersey are the first states using facial recognition software to bust illegal drivers at the Department of Motor Vehicles (DMV). CBS 2’s Jessica Schneider says it’s the key technological tool now used by law enforcement. It has already helped authorities make 3,500 arrests of the illegal or dual motor license fraudsters.
      2. Bangalore, India: LabourNet Services has adopted SmartAttendance, “a mobile based face recognition solution” to make sure the expected beneficiaries are receiving educational and skill development services at right time and place. As a social enterprise they are able to
        • Control the drop out rates of the enrolled trainees
        • Ensure the presence of expected trainees at the training sessions
        • Automate the complete monitoring process
      3. Arizona,USA:  The number of potential ID fraud cases identified has increased by 860 percent, as reported by the Arizona Republic. The Arizona Department of Transportation (ADOT) has implemented a commercial-off-the-shelf (COTS) vendor-hosted facial recognition solution, to support the Motor Vehicle Division (MVD) credential-issuance process.  This will further enhance fraud and identity theft protection for the citizens of Arizona and over time, expedite the processing and cut the number of fraud investigation cases. The system cross-references new driver’s license pictures with the MVD’s database of existing drivers.
      4. USA: Apple and Facebook have already worked on a mechanism that auto shares the images their social circles based on face recognition
      5. Indonesia, US, Portugal, Africa, India : Using face recognition to identify faces of church visitors from CCTV footage or photos to match churchgoers used to check attendance numbers, and alert church officials if some members stop coming to services. Attendance of these events and services is a key indicator on how the church performs in terms of popularity and growth. It also allows the church to keep a close connection to its members. Most churches already keep track of members attendance manually. However, when it comes to big events it is nearly an impossible task to track members.  It can also screen for people banned from the church.
      6. USA: Customs and Border Protection Officers stationed at air ports of entry are using facial recognition technology as a tool to help them in determining whether an individual presenting themselves with a valid U.S. electronic passport is the same individual photographed in that passport. The U.S. Customs and Border Protection (CBP) is conducting 1:1 Facial Recognition to identify this.
      7. China: A team of university and technology company researchers in China introduced an ATM with built-in facial recognition technology to cut the risk of illegal withdrawals.  The new ATM, built by a team from Tsinghua University and Tzekwan Technology, which captured the facial images using the cameras equipped in the ATM and later compare them with ID photos for verification. The facial recognition measure will be an added layer of identification on top of the traditional password or PIN required to access funds with a card. The ATM will also be linked to banks and local police offices to further bolster security.
      8. India: A social enterprise delivering health services in remote places (rural and semi rural areas) has adopted a novel solution to make sure beneficiaries receive the services at the right place and time through the on-the-field employees. The SmartAttendance, a mobile based face recognition and tracking solution collects bio metric data tagged with GPS and time stamp to detect and identify beneficiaries at meeting venues. This  has enabled the organization to track, monitor and audit the data coming from all the on-site service locations across the country. Salary calculations, productivity analysis and auditing are made extremely simple through the use of visual dashboards.
      9. Europe: Government and law enforcement agencies took a huge technological leap by providing their agents with the ability to identify individuals using facial recognition in ‘near’ real-time. Agents can now transmit photos or videos captured on their smartphone through specific mobile application,which later gets processed by  the application provider on the cloud server using automated face detection and recognition technologies.
      10. Thailand: Using the face recognition ability to identify people from group images, Thailand Government is investigating a deadly bombing case on a famous shrine. Such automatic machines can detect up to 100 people within 5-6 seconds than making people sit and do the same job which would take all day.

While this is a small roundup of the Use-Cases where we see Face Recognition technology in use, we would love to hear from you if there have been some glaring omissions.

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