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Our Technology

FaceTagr harnesses the power of advanced artificial intelligence and machine learning to deliver world-class facial recognition solutions. Our technology boasts a 99.91% accuracy rate, placing us in the top 1% of facial recognition systems worldwide. And what's more, FaceTagr's advanced algorithms are entirely indigenous, developed and refined right here in India.

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Precision and Speed

FaceTagr is designed to identify and verify faces with remarkable speed and precision. Our technology's power is displayed in its ability to process high volumes of data rapidly, ensuring accuracy without compromising efficiency. With FaceTagr, operational times decrease, satisfaction increases, and precision is never compromised.

From attendance tracking for a distributed workforce to preventing unauthorized touchless access and tailgating in corporate facilities, our facial recognition system seamlessly integrates into various environments. FaceTagr is also deployed in election processes to prevent duplicate and fraudulent voting. We have successfully verified and processed over 15 lakh data points during the Bihar state elections, contributing to fair and secure voting.

Global Testing & Benchmarking - US Gov. -NIST

FR for Paperless Travel

The test concerns a specific application of one-to-many matching in airport transit settings, where travelers’ faces are matched against a database of individuals who are all expected to be present. In this scenario, a few hundred passengers board a given flight. NIST also looks at whether the technology could be viable when 100 times more people might be expected during a certain time window. 

FaceTagr's accuracy stands at 99.91% and time at 453 millisecond.

1N Face Match Accuracy

FaceTagr has achieved an impressive Rank 1 False Negative Identification Rate (FNIR) of 0.0032 in the rigorous NIST Face Recognition Vendor Test (FRVT) 1:N evaluation. This performance metric means our advanced face recognition algorithm can reliably identify the correct match as the top result from a gallery of 12 million images with a threshold set to zero, rendering a FNIR of only 0.0032 for Mugshot images.

This performance translates to a 99.68% successful identification rate.

11 Face Match Accuracy

FaceTagr continues to raise the bar in facial recognition technology, as evidenced by our stellar performance in the NIST Face Recognition Vendor Test (FRVT) 1:1 evaluation. The FRVT 1:1 test is a rigorous assessment of face recognition algorithms that compares two images - a probe image and a gallery image - to determine if they represent the same individual.

We are proud to share that FaceTagr's technology demonstrates an exceptional score in this test, affirming our position as a leading facial recognition solution in the industry.

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