Financial-Grade 3D ToF Face Recognition for Smart Lock Systems
Empower your smart locks with Time-of-Flight technology. Unbeatable anti-spoofing security, instant unlocking in total darkness, and seamless integration.
Why Traditional 2D Face Unlock is Obsolete
Don't compromise your brand reputation with vulnerable security. Upgrade to 3D sensing.
Presentation Attacks
2D cameras are easily fooled by high-res photos or phone screens. ToF perceives depth, instantly rejecting flat surfaces.
Lighting Constraints
RGB cameras fail in low light or require blinding white LEDs. ToF uses Active IR, working perfectly in 0-lux pitch darkness.
Privacy Concerns
Users worry about cameras. ToF processes only depth data, ensuring GDPR compliance without storing identifiable color images.
True 3D Depth Sensing Technology
Liveness Detection
Our algorithm analyzes 30,000+ depth points to confirm facial curvature, effectively blocking 2D masks, photos, and video attacks.
Wide FOV for All Heights
Vertical FOV optimized for smart locks. Detects faces from 1.2m (children) to 2.0m (tall adults) at a comfortable distance.
Ultra-Low Power Consumption
Deep sleep architecture with fast wake-up (<0.5s). Designed to maximize battery life in AA/Li-ion powered locks.
Works in Direct Sunlight
Engineered for outdoor reliability. With resistance up to 100K Lux, our ToF modules ensure consistent performance in direct sunlight, significantly outperforming traditional structured light.
Engineered for Your Specific Application
Select the module that fits your mechanical design and performance requirements.
Module DM5005A
Versatile 3D ToF motherboard powered by Sigmastar. Features UVC USB plug-and-play connectivity and QVGA resolution for cost-sensitive OEM projects.
Recommendation
"Ideal for indoor robotics navigation, volume measurement, and custom facial recognition terminals requiring bare-board integration."
Module DMOM2501C
Compact Global Shutter ToF module designed for 3D liveness detection. Prevents 2D photo spoofing and enables secure face unlock in battery-powered devices.
Recommendation
"Critical for biometric security: adds a layer of 3D depth protection to smart locks and access control systems to block photo/mask attacks."
Module DMOM2508CL
High-fidelity 320x240 ToF sensor with 940nm stealth illumination. Delivers superior depth detail for invisible, non-intrusive face authentication.
Recommendation
"Best-in-class for high-end smart locks and AR headsets requiring invisible night vision and precise 3D facial mapping."
Comparing Biometric Technologies
Validate why ToF is the superior balance of cost, security, and performance.
| Feature | 3D ToF (Our Solution) | Stereo Vision | Structured Light |
|---|---|---|---|
| Anti-Spoofing (Security) | High (Native 3D) | Medium (Fails in dark) | High |
| Low Light Performance | Excellent (Active IR) | Poor (Needs Light) | Good |
| Sunlight Robustness | Strong (Up to 100K Lux) | Strong | Weak (Laser Interference) |
| Computation / Cost | Low / Medium | High (Complex Algo) | High |
| Module Size | Compact (Single Lens) | Large (Dual Lens) | Large (Emitter Gap) |
Built for OEMs and System Integrators
Hardware Ready
Compact module size (20mm x 8mm) to fit slim lock bodies. Surface mount compatible for automated assembly.
Turnkey Software
Complete SDK for RTOS/Linux. Pre-calibrated depth data and optional liveness algorithm licensing.
Supported Ecosystems
Frequently Asked Questions
Key insights on security, reliability, and integration of 3D ToF Face ID solutions.
Is 3D ToF face recognition reliable for residential smart locks?
Can ToF-based face recognition replace fingerprint sensors in smart locks?
How does ToF face recognition perform in family environments with children?
Where is face recognition data stored in ToF-based smart locks?
Optimize Your ToF Camera Solution
Whether you are sourcing ToF camera modules or looking for a complete depth sensing solution, we help you select, integrate, and optimize the right ToF technology for your application.
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Headquarters
905, Changhong Technology Building, Nanshan District, Shenzhen, China
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