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Secure, Privacy-First Facial Recognition at the Edge
Facial recognition is becoming a core interface for secure access, personalization and automation. But cloud-based vision systems introduce latency, privacy risks and ongoing connectivity costs. Our facial recognition with liveness detection solution enables accurate, secure and fully on-device facial recognition, eliminating reliance on the cloud.
Designed to Solve Real-World Problems
Spoof-Resistant Security
Integrated liveness detection protects against photo, video and replay attacks, helping ensure that only a real, physically present, user can be authenticated.
Privacy by Design
Processing is performed entirely on the SAMA7 microprocessor (MPU), ensuring that images and biometric data are never transmitted off-device and remain protected by built-in hardware security.
Real-World Robustness
Optimized to handle variable lighting, occlusions including sunglasses and masks, and pose variations, enabling reliable performance in uncontrolled, real-world environments.
Production-Ready Implementation
Our facial recognition solution is provided as a turnkey firmware solution with no model training required. Built-in user enrollment and management streamline system setup, while well-defined interfaces simplify integration into existing embedded applications. Advanced customization is available on request.
Key Advantages
Single-sensor solution
Anti-spoofing
Fully encrypted
On-device execution
Easy new-user enrollment
Software Flow
Intelligent Vision for Real-World Systems
Smart embedded AI vision technologies are transforming how systems perceive and respond to the world, enabling real-time identification, monitoring and decision-making directly at the edge. From improving operational efficiency and safety in industrial environments to enhancing access control, surveillance and human-machine interaction, AI vision applications deliver faster, more reliable insights while preserving privacy and reducing reliance on cloud infrastructure.
Explore Our Other AI-Based Solutions
Our edge AI portfolio extends beyond vision to include intelligent audio interfaces, predictive maintenance and safety-critical monitoring. These solutions are optimized for real-world deployment, delivering secure, low-power inference at the edge without reliance on the cloud.
Arc Fault Detection
Our arc fault detection solution is a safety-critical edge AI solution that identifies hazardous arc faults in Alternating Current (AC) and Direct Current (DC) systems in real time, enabling faster fault detection and improved system protection with minimal false positives.
Always-On Keyword Spotting
Our keyword spotting solution is a low-power audio inference solution that enables always-on wake word detection and command recognition, delivering fast response times without streaming audio to the cloud.
Predictive Maintenance
Our predictive maintenance solution is an edge AI solution that analyzes sensor data such as vibration, current or temperature to detect anomalies early, helping prevent equipment failures and reduce unplanned downtime.