MEET
THE ALGORITHM
TOP PERFORMER
VERIFICATION ACCURACY
IDENTIFICATION SPEED
ON THE DETECTION
OF PEDESTRIANS AND CYCLIST
PERFORMANCE ON DETECTION
ACTIVITY IN EXTENDED VIDEO
HOW FACIAL
IDENTIFICATION WORKS
How neural network works
The neural network is trained to identify unique facial features so that it can then find similar faces in the database. NtechLab’s face detection algorithm works with global facial databases, allowing for a split-second search.
When working with facial features it is impossible to restore the original image of the face, which ensures compliance with the rules of personal data protection.
Working with facial features requires up to 100 times less computing power compared to face image processing.
RECOGNITION MECHANISM
The algorithm analyzes
an individual video frame
Pixel color
determination
The neural network receives a matrix of RGB values of pixels as input.
The algorithm detects faces
The algorithm determines where faces are on the image.
NtechLab’s face detection algorithm is capable of detecting an unlimited number of faces in a frame, making it an ideal solution for security in crowded areas.
The speed of the detector does not depend on the number of faces in the frame.
The algorithm of facial recognition technology provides bounding box coordinates: the top left and right bottom borders of a face for further work with each one of them.
Visual distortion
correction
The image goes through the following stages: points on the eyes, corners of the mouth, nose — 5 points total.
Algorithm retrieves
facial characteristics
A biometric face pattern is a certain sequence of numbers formed by a neural network as a result of the initial image transformation and applied for comparison with other patterns.
NtechLab’s algorithm took the 1st place in the IARPA face recognition accuracy competition
Face detection and identification
against the image database
FACE ATTRIBUTES
NtechLab’s algorithm works successfully with the following attributes:
LIVENESS
Does not require additional actions from users (like smiling, blinking or interacting with the identification system otherwise)
Works with existing equipment (no need to install specialized hardware)
SILHOUETTE
DETECTION
AND RECOGNITION
Can be used as an add-on to a facial recognition system, or as an independent module that performs silhouette recognition only
HOW NTECHLAB ALGORITHM WORKS
Global acknowledgment
NtechLab’s neural networks have a unique architecture developed by our own specialists.
They have been trained on large data sets of photos that are very close to real-life images in terms of shooting conditions, lighting and position in the frame, which ensures highly advanced computer vision.
The success of the neural network is determined by:
NEURAL NETWORK ARCHITECTURE
DATASETS THAT THE NETWORK HAS BEEN TRAINED ON
NEURAL NETWORK TRAINING ALGORITHM
«The NtechLab algorithm passed the PAD Level 2 testing and proved full compliance with the ISO/IEC 30107−1 and ISO/IEC 30107−3 standards»
The NtechLab algorithm was recognized the world’s best based on the results of 7 independent tests
Within three tests the algorithm has beaten a record in the entire history of testing
«3rd place in deepfake detection»
«2nd place in video activity recognition.»
«3rd place in recognition of pedestrians and cyclists through city surveillance cameras.»
«The best recognition result from the databases of photos taken under uncontrolled conditions»
«Best emotion recognition results.»
«Best verification accuracy»
«Best verification speed»
«Best face recognition accuracy»
Top position among facial recognition algorithm developers, including Google
ASSESSMENT MANUAL