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How has Facial Recognition revolutionized Identity Verification and Authentication?

May 17, 2023

Facial Recognition System - M2P

Facial recognition technology today goes beyond just unlocking your smartphone. 7 out of 10 governments worldwide use the technology on a large scale for surveillance, security, and pandemic control.  Businesses are deploying facial recognition technology for VKYC, payment authorization, access control, and customer experience, to name a few. Use cases range across industries like financial services, educational institutions, transport services, legal enforcement, and private businesses, among several others.

Valued at $6.28 billion, the facial recognition market is expected to grow at 16% CAGR to reach $11.35 billion by 2027. With increased security and convenience as the two potential benefits, this digital identification technology has been increasingly deployed over the past decade.

Before heading further into the world of facial recognition, let’s take a quick glimpse into how identity verification happens conventionally.

Traditional Identity Verification

  • People had to only rely on physical identification documents such as IDs, passports, and driving licenses to verify their identity.
  • Legal entities had to depend on eyewitnesses or labor-intensive manual identification techniques to identify suspects.
  • Security at airports, government buildings, and other high-security facilities was mostly based on manual checks. Even today, metal detectors and X-ray scanners are used for verification.

Shift to Modern Facial Recognition Technology

The ability of behavioral biometrics and modern facial recognition technology to authenticate IDs has been revolutionary. Irrespective of whether you use it in transportation, aviation, commerce, or as a security solution, the technology delivers key advantages in speed, accuracy, and convenience. Further, facial recognition works well in integration with a wide range of other technologies, especially security software. It is easy to incorporate into existing security systems at a low cost, enabling a win-win situation for organizations that seek a frictionless solution.

A few notable implementations are listed below.

  • Law enforcement agencies can use facial recognition technology to quickly identify suspects by matching their faces with the existing database.
  • Some countries like China have started using facial recognition technology for border control, to verify the identity of travelers entering and leaving the country.
  • In the airline industry, facial recognition is already employed to offer speedy, accurate identification verification at every stage of the passenger journey, including check-in, luggage drop, security screening, retail transactions, and boarding lineups.

M2P Facial Recognition System (FRS)

Facial recognition/detection, liveness check, and matching are components of our facial technology. To streamline citizen authentication across several services, we’ve developed a cloud-based FRS solution that can be integrated with current government databases and applications. Using state-of-the-art AI algorithms for biometric identification, we comply with international standards for privacy and protection, to make it easy for citizens to access government services in a secure and expedited manner.

We work with the private firms and governments in Andhra Pradesh, Telangana, and Orissa on the following projects.

  • Group face attendance solution for marking attendance in schools (for 14 lakh students)
  • Online counseling for degree colleges for intermediate pass-out students in Telangana
  • Pension services through our video KYC solution in Orissa
  • Driving license and vehicle registration without a personal visit to the Telangana RTA department
  • Face-based attendance application to ambulance drivers to mark their shift-wise attendance for private firms.

Key Benefits

  • Contactless: Our AI & ML-enabled advanced facial attendance system is based on contactless technology, which means it can be used to identify individuals without requiring physical contact. It can even mark attendance within a safe distance of 6 feet. Being contactless by nature, it ensures system functionality at crucial times.
  • Flexibility: Facial attendance solution offers a greater amount of flexibility since it can be operated at edge level without any internet connectivity. It can capture single attendance and group attendance based on custom requirements.
  • Instantaneous: Facial recognition is instant and can provide results in real-time, meaning that the system can identify a person as soon as their face is captured by a camera.
  • Fool-Proof: Our FRS solution has the potential to complete the verifications with the best of accuracy and reliability making it the fool-proof solution for identity verification.
  • Saves cost and effort: FRS is a potential cost-saving solution that reduces the need for human personnel to manually identify individuals which in turn prevents errors and biases in identification.

Use Cases of Facial Recognition

We rolled out our advanced Facial recognition solution involving Facial technology, Geo-fencing, and De-duplication modules to different government and financial institutions across the Telangana state.

Below are the use cases where FRS plays a major role.

Subsidy Management System: FRS integrations enable seamless monitoring of subsidies for government entities where all the beneficiaries need to be authenticated to prevent misuse. The distribution of subsidies can be managed centrally, making it easier to track and monitor the use of funds. FRS can capture and store data on beneficiaries, including their personal information, income, and eligibility for the subsidy. By doing so, it ensures that only those who meet the criteria receive the subsidy, and that there is no duplication of benefits. The facial system can identify any irregularities in the distribution of funds, such as multiple claims by the same beneficiary or claims by ineligible beneficiaries.

Citizen Identification: FRS aids in the rapid identification of citizens, decreasing the time and resources required for manual identification processes. This customer identity check is highly accurate, reducing the risk of errors in identifying individuals. FRS can improve security by adding an extra layer of identification and verification.

Customer Onboarding: FRS can be used for customer onboarding across industries like banking, insurance, and several others. It can streamline the KYC and onboarding process by verifying the identity of customers remotely, which saves time and reduces costs. The application helps mitigate any risks associated with using FRS for customer onboarding.

Attendance Marking: Using FRS technology, attendance marking can be done in a matter of minutes for a group of 50 students, as opposed to traditional methods of manual marking which can take much longer. This is because FRS technology can identify and mark attendance for multiple individuals simultaneously, without the need for physical contact or manual input. It helps to detect up to 8 faces in a single frame, it takes only 2 to 3 seconds per attendee.

Let’s discuss the attendance marking use case in detail.

How Does Facial Recognition Technology Enable Attendance Marking?

Step 1: Onboarding process and integration 

First, the FRS application must be onboarded and integrated with the existing system.

  • Attendee/attendees are registered in the portal or the mobile app
  • Data is integrated to the system using department level APIs
  • Attendee details can be customized based on entity requirement

Step 2: Registration process

The next step is registration where participants can choose to sign up with or without an Aadhar number based on the availability.

With Aadhaar

  • Register attendee with Aadhaar in FRS system
  • Perform Aadhaar-based e-KYC
  • Aadhaar details of the attendee are fetched
  • Perform liveness check by capturing live photo
  • Face match between photo from Aadhaar and live photo
  • Enrolment completed

Without Aadhaar

  • Register attendee in AI FRS system
  • Details of individual are fetched
  • Capture live photo of attendee
  • Perform liveness check
  • Enrolment completed

Step 3: Attendance Marking

Once the registration is complete, attendance of a single person or a group can be captured.

  • Open application and capture selfie/photo
  • Attendance recorded to edge level
  • Attendance marking is done in 2 ways
  • 1:N – To capture the attendance of 1 person in less than a second
  • N:N – To capture the attendance of up to a 50-member group in less than 2 minutes

Step 4: Reports and Live Dashboards Monitoring

With the integrated dashboard, you can easily monitor all the reports generated by this solution. Soon after the completion of the capture and authentication processes, the reports are instantly generated. With the help of this software, it is possible to continuously monitor and keep an eye on the live monitoring dashboard of the FRS system.

Proven Impact of FRS in Attendance Marking

  • Lead time taken to enroll an attendee is less than 5 seconds.
  • Liveness check accuracy is 100%
  • Face matching accuracy is 100%
  • False acceptance ratio is less than 0.1%
  • False rejection ratio is less than 0.1%

Apart from the results listed above, our facial recognition system provides the benefits below.

  • Marks attendance offline
  • Syncs data automatically when connectivity is restored (after network outage)
  • Contactless capture within 5 feet distance
  • Live monitoring with MIS reports
  • Geo location binding

Our facial recognition system is a versatile solution that can be easily and quickly integrated into any system without any hassle.

Future of Facial Recognition

Face recognition technology is the future of identity verification. It holds a wide scope for potential innovation in security, marketing, healthcare, retail, and entertainment. We can expect to see a significant improvement in the accuracy of face recognition systems for more reliable identification in complex and challenging situations.

Want to know more about facial recognition solutions?

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