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Meet
FindFace algorithm

CERTIFIED
TOP PERFORMER
1ST PLACE
VERIFICATION ACCURACY
IDENTIFICATION SPEED
THE III BEST PERFORMANCE
ON THE DETECTION
OF PEDESTRIANS AND CYCLIST
THE 2ND BEST ACCURACY
PERFORMANCE ON DETECTION
ACTIVITY IN EXTENDED VIDEO

Algorithm features

FACE DETECTION
The NtechLab algorithm has the highest speed and accuracy.

The NtechLab algorithm is able to detect an unlimited number of faces in an image, which makes it an ideal security solution. The NtechLab technology detects faces in complex conditions and is effective even when there is a significant change in light, posture, and face angle.

FACE VERIFICATION
According to independent tests, when it comes to face verification, the NtechLab algorithm happens to be the best in the world. It verifies a face even if there is a dramatical change in appearance such as the presence of a beard or mustache, glasses, a semi covered face, etc.

#1 on Wild data set with FMR=0.001 and FNMR 0.1

FACE IDENTIFICATION
Face Recognition Prize Challenge organized by the U.S. Intelligence Advanced Research Projects Activity (IARPA) recognized NtechLab as the fastest algorithm in the world.

NtechLab’s algorithm uses datasets of global scope. Billion-entry facial database searches are performed with the highest possible accuracy and speed.

Large database search speed:

  • Set of 250 million images: less than 0.2 sec
  • 500 million images: less than 0.3 sec
  • 1 billion: less than 0.5 sec

ATTRIBUTES
NtechLab’s algorithm detects age with 95% accuracy within 5 years range. It determines a person’s gender with 99% accuracy. 7 basic and 50 complex human emotions are recognized.

The algorithm extracts the following attributes:

  • gender
  • age
  • emotions
  • glasses
  • beard

Our technology demonstrates the highest speed and accuracy in extracting attributes. The attribute data may be used in a wide variety of fields, including fraudster search, ad targeting, individualizing access control, and data enrichment. The accuracy of our emotion recognition algorithms is proven by NtechLab’s victory at the international EmotioNet Challenge 2017 contest.

LIVENESS
NtechLab’s products incorporate an original Liveness detection technology allowing to distinguish a real human from a photo or video.

NtechLab has developed it’s own 2D liveness technology based on passive detection that’s ideal for access control as well as for authorization through mobile apps purposes.

The key advantages are:

  • No explicit actions required from visitors such as smile, blink or any other interactions with the system
  • It works with existing equipment. No need to install specific devices, such as 3D cameras, thermal viewers and others
  • Detection and verification takes less than 1 second
  • Still images and video can be processed
  • API-driven operation
SILHOUETTE DETECTION
NtechLab’s algorithm detects human silhouettes and trajectories
    Its capabilities include:
  • Accurate visitor counting when faces are not visible
  • Silhouette-based trajectory detection
  • Operates either as an add-on to a facial recognition system or as a standalone module

INTERNATIONALLY RECOGNIZED

The fastest and most accurate face recognition algorithm in the world
Acknowledged by experts, proved by clients
International Competition for Evaluating Face Recognition Algorithms, conducted by the University of Washington, USA

«The best face detection accuracy»

Outperformed Google and other competitors

International contest conducted by the U.S. Intelligence Advanced Research Projects Activity

«The best verification accuracy»

«The fastest identification speed»

International contest for evaluating emotions recognition algorithms, conducted by the Ohio State University, USA

«The best emotions recognition»

Benchmark by the U.S. National Institute of Standards and Technology

«The best result of face recognition under uncontrolled conditions»

Competition on pedestrians and cyclists detection on the roads

Among TOP-3 on pedestrians and cyclists recognition from urban video surveillance cameras

Activities in Extended Video

The 2nd best accuracy performance on detection activities in extended video

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