Proprietary Models - Exceptional Accuracy - Unbreakable Security
At ARMA, we built our models from scratch. We did not rely on off-the-shelf or open-source solutions. We invested years of R&D to achieve 99.9% face recognition accuracy, outperforming most commercial solutions available.
Our models are trained on millions of faces from diverse ethnicities and conditions, making them the most diverse and accurate in the MENA region.
The ARMA model is built on a hybrid architecture combining:
Six integrated models built from scratch delivering unmatched performance
Our proprietary face recognition model with 99.9% accuracy - the most advanced in the Middle East
The ARMA face recognition model is the result of 5 years of intensive research. Trained on over 10 million faces across diverse ethnicities, ages, and lighting conditions.
It uses advanced Deep Face Embedding algorithms that convert each face into a unique 512-dimensional digital fingerprint (Face Embedding), enabling precise and ultra-fast matching.
The model recognizes a face in under 0.1 seconds even in databases containing millions of faces.
Advanced 3D anti-spoofing system to detect fraud and forgery attempts
The ARMA liveness detection model is the first line of defense against fraud. It distinguishes real faces from forgery attempts including:
Uses proprietary Active Flash 3D technology: emits invisible light flashes and analyzes skin reflection to verify it is real living tissue.
Converting facial features into a unique 512-dimensional numeric vector - the Face Fingerprint
Every face processed by ARMA is converted into a unique digital fingerprint (Face Embedding) - a numeric vector of 512 decimal values. Like a digital fingerprint: unique to each person and irreversible to reconstruct the face image.
Comparison between two faces is done by calculating Euclidean Distance or Cosine Similarity between their vectors. The smaller the distance, the stronger the match.
This technology enables searching databases of millions of faces in fractions of a second.
Advanced protection layer: even if data leaks, original face embeddings cannot be read
Security and privacy are at the core of ARMA design. We developed an advanced encryption layer for face embeddings ensuring that even in worst-case scenarios - if the database leaks - no one can extract original face images or use leaked fingerprints.
We use Partially Homomorphic Encryption allowing comparison operations on encrypted data without decryption.
Plus Salted Hashing for embeddings, making them irreversible.
Specialized search engine designed specifically for face embeddings ensuring maximum speed & performance
Traditional databases are not suitable for high-dimensional vector search. We built a specialized search engine based on:
Result: searching 10 million faces takes under 0.05 seconds.
Comprehensive RESTful API with SDKs for 8 programming languages - integrate in minutes
We designed a complete RESTful API enabling developers to integrate ARMA technologies into their apps in minutes. Includes:
We provide SDKs for: Python, JavaScript, Java, C#, Go, PHP, Swift, Kotlin.
Verified Results in the Toughest Conditions
Our model has been tested on global benchmark datasets achieving:
Ideal Conditions
Low Light
Side Angles
With Masks
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