MEET

THE 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

HOW FACIAL

IDENTIFICATION WORKS

The neural network is trained to identify unique facial features so that it can then find similar faces in the database. HooshLab’s face detection algorithm works with global facial databases, allowing for a split-second search.

security

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.

signs

Working with facial features requires up to 100 times less computing power compared to face image processing.

RECOGNITION MECHANISM

01

Detecting the face and silhouette in the image

02

Visual distortion correction

03

Retrieval of facial features

04

Verification or identification of a face

The algorithm analyzes

an individual video frame

The algorithm detects faces

Algorithm retrieves

facial characteristics

Face detection and identification

against the image database

Identification is the comparison of facial features with those in the database. Proven by independent tests, HooshLab’s algorithm is number one automatic face recognition software in solving the identification problem. It finds faces, even if there are significant age-related changes, a beard or mustache, glasses, or any other means of partial face concealment. This ensures maximum effectiveness of facial recognition for law enforcement organizations
FACE ATTRIBUTES

Global acknowledgment

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ASSESSMENT MANUAL