Home » Argu Products » Facial Recognition
Optional biometric enhancement for identify verification and high-security access.
Identify individuals in real time across live and archived footage. Both 1:1 verification and 1:many crowd identification, integrated directly into your agentic surveillance workflow.
At Argu.ai, we pioneered the shift to Vision Agents. By combining Large Language Models (LLMs) with visual encoders, we built a system that understands the world the way humans do through context and language.

1:1 Verification
Confirm a person's identity at a gate, turnstile, or restricted entry point in under 200ms with NIST-validated accuracy.

1:Many Crowd Identification
Identify a VIP, a known threat, or an unauthorized individual in a crowd of hundreds — across multiple live feeds simultaneously.

On-Premise Only
All biometric processing happens locally. No cloud uploads. No third-party data sharing. Full GDPR and SOC 2 Type II compliance.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.

NIST #2 Ranked
Among the highest-accuracy facial recognition systems globally.

Data Privacy
All biometric data processed on-premise. Zero cloud transmission.

Agentic Integration
Combine facial recognition with other detection agents in a single workflow.

NIST #2 Ranked Accuracy
Top-tier facial recognition accuracy validated by the National Institute of Standards and Technology.

On-Premise Only
All biometric processing happens locally. No cloud uploads, no third-party data sharing.

GDPR and SOC 2 Compliant
Built for regulated environments. Full compliance with international data privacy standards.

Integrated Agentic Workflow
Combine facial recognition with access control, intrusion detection, and other agents in a single pipeline.
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