Build solutions with embedded video analytics
using FindFace SDK

For authorized ISV partners only

FindFace SDK is a C library. It’s designed to enable developers to add video analytics functionality to their products and services. Without spending resources on developing your own technology.

Object detection

Finds face fragments in an image and returns a bounding box and control points (eyes, nose, corners of the mouth) for each fragment.

See examples

Extraction of the feature vector

An algorithm generates a feature vector from the image. Stored in a database, the vector is used to match objects for identification and search.

See examples

Verification and identification

Checks the similarity of images when searching for people and cars in the database. It takes ~75 ns to compare 2 biometric samples and estimate the probability of them belonging to the same person.

See examples

Liveness check

Fraud protection: the system confirms whether there is a live person on a video, and not an image on the screen or a photograph.

Extracting attributes

Retrieves information about a person or vehicle.

Tracking

Builds the trajectory of a person or car, on video.

ADVANTAGES

Top performer in NIST benchmarks (May 2021). Listed in Top-3 in IARPA FRPC, etc.

Feature vector extraction up to ~25 faces per second on CPU, and ~240 faces per second on GPU. Search/verification speed is13.4 mln faces per second.

A well-documented library allows you to start writing code right away. FindFace SDK can be easily integrated into your development process.

Your software can identify and verify faces with or without being connected to the internet.

Liveness check eliminates possible fraud attempts using printed or on-screen images.

Attributes for faces: age, gender, emotions, beard, glasses, etc. For silhouettes: clothes type and color (upper and lower), headwear. For cars: color, make and model, body type, plate.

Several neural networks are available for face recognition. For example, depending on the task, you can choose a faster, but less accurate neural network, or vice versa.

Phenomenal data processing speed.

Approximately 10 times faster than CPU.

LIVENESS

‘Liveness’ check establishes whether the detected face belongs to a live person or whether it’s an image. NtechLab’s Liveness technology uses a passive detection method, which is perfect for access control tasks, and authorization via mobile applications.

Fake face 2%

Fake face 98%

Anti-spoofing system that allows you to distinguish a living person from an image in FindFace Security

Advantages

Does not require actions from visitors (smile, blink, or other interactions with the system).

Works with existing equipment (no need to install specialized devices such as 3D cameras, thermal imagers and others).

LOW HARDWARE REQUIREMENTS

Attributes

FindFace SDK allows you to extract object attributes from video and images for advanced analytics and for searching objects simply by specifying parameters.

Age: 28 Gender: male Beard: 98% Glasses: 78%

Find faces by feature set in FindFace Security

Attributes for faces

Age

Beard

Mask

Head turn

Brightness

Gender

Glasses

Emotions

Image quality

Sharpness

Attributes for silhouettes

Clothes type, upper

Clothes color, upper

Headwear

Clothes type, lower

Clothes color, lower

Attributes for cars

Body type

Color

Country of the plate

Model, make

Plate number

Region of the plate

TYPICAL CASES

E-GATE

AUTHENTICATION

ACCESS CONTROL

WEARABLES

Face Recognition SDK on Wearable Devices

DETECTOR OPERATION EXAMPLES

Detecting a face means locating its bounds within a digital image. Even if a face is semi-covered, blurred or partially turned away from the camera, FindFace detector will identify it. Our intelligent software outperforms the competition illustrated by outstanding results on low-resolution sources and in limited visibility conditions.

FACE DETECTION
AT A DISTANCE