Binocular face Recognition Module DM-SV001F1 is a stable mass production product launched by DOMI, featuring high accuracy, small size, and easy integration
Binocular face Recognition Module DM-SV001F1 is a stable mass production product launched by DOMI, featuring high accuracy, small size, and easy integration. Combined with DOMI's self-developed face liveness detection in real-time algorithm, Can more effectively prevent photos, videos, masks and other false attacks.
Binocular face Recognition Module DM-SV001F1 with high anti-counterfeiting. If it comes from a real person, then the face recognition system accepts such images and does the recognition process but it rejects the image if it comes from a fake person or photos or videos. Here, the main advantages Binocular face recognition module DM-SV001F1is to enhance the security of intelligent door lock.
Binocular face recognition module DM-SV001F1 Has the following features:
Support binocular 3D face recognition
Recognition fast, operation Simple
High accuracy and strong adaptability
Management functions: intelligent face registration, grouping, deletion, and clearing management
Anti-counterfeiting function: reject photos, 3D models, mask unlock
Learning function: self-learning function through algorithm, adaptive face changes
Binocular face recognition modules DM-SV001F1 are widely used, as far as authorization, the function of management, switch, facial recognition of M7 series modules are available to replace the hardware fingerprint, IC card, password, switch, etc., suitable for everything from low-end to high-end systems, such as: Face door locks, safes, finance and other security fields; Access control system, industrial computer, POS machine, driving training, attendance and other identity fields; Private clubs, management software, licensing and other management fields; Medical insurance, pension, face payment and other financial fields etc.
| Parameter | Specification |
|---|---|
| CPU | RISC-V Dual-Core Processor |
| NPU | High-Performance NPU with Embedded AI Engine |
| ISP | 2-Lane ISP |
| RAM | 64 MB DDR3L |
| ROM | 16 MB SPI NOR Flash |
| Camera Interface | MIPI CSI Interface |
| Other Interfaces | UART (Serial Communication & Power Interface) |
| Power Supply | Input Voltage: 4 V ~ 9 V Current Requirement: ≥ 500 mA |
| FOV (Field of View) | 54° (H) × 68° (V), 105° (D) |
| Face Recognition | Recognition Speed: 0.3 s (Cold Start) Recognition Distance: 0.4 m ~ 1.0 m Liveness Detection: TAR ≥ 98% Face Comparison: TAR ≥ 98% @ FAR = 10⁻⁶ |
| Image Sensor | 1/6″ CMOS Sensor Resolution: 640 × 480 (VGA) Interface: MIPI |
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