Binocular face Recognition Module DM_SV001_F1 is a stable mass production product launched by DOMI, featuring high accuracy, small size, and easy integration
Binocular face Recognition Module DM_SV001_F1 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_SV001_F1 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_SV001_F1is to enhance the security of intelligent door lock.
Binocular face recognition module DM_SV001_F1 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_SV001_F1 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.
Binocular face recognition module DM_SV001_F1 Key specification
|CPU||RISC-V Dual Core|
|NPU||High performance NPU,AI engine embedded|
|ISP||2 lane ISP|
|ROM||16MB SPI NOR FLASH|
Serial interface supported
UART communication and power interface
|Power Supply||Power input：4V ~ 9V；Current：≥500mA required
|Lens||FoV：54°(H) * 68°(V)，105°(D)|
|face recognition||Face recognition recognition speed: 0.3s Cold start
recognition distance: 0.4m~1m
Best living detection: TAR: 98%
Face comparison: TAR: 98% @ FAR: millionth
|Image Sensor||1/6" CMOS，640x480 pixel，
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