Description
Face Recognition Module BSD-F1670
-
Type: Face Recognition Module
-
Model: BSD-F1670
-
Dimensions: 39mm (Length) x 19.6mm (Width)
-
Overview: The BSD-F1670 is a high-performance biometric hardware module driven by a cutting-edge facial recognition algorithm. It guarantees highly efficient liveness detection (anti-spoofing) while maintaining an ultra-compact form factor, rapid processing speeds, and low power consumption across highly complex operating environments. Featuring an integrated 2MP high-definition image sensor, this module serves as an ideal turnkey upgrade to rapidly bring reliable, next-generation facial verification to smart electronic door locks.
-
Applications: Smart door locks, embedded biometric security systems.
Key Features
-
Advanced Edge AI Core: Powered by a professional-grade, high-performance dual-core AI processor.
-
Integrated 2MP Sensor: Equipped with a high-definition 2-megapixel image sensor for pristine visual input.
-
Flexible Biometric Registration: Supports both fast single-frame enrollment and high-precision multi-frame user registration.
-
Industry Standard UART: Features a standard serial UART interface (3.3V TTL) compatible with mainstream lock control communication protocols.
-
Versatile Wide Voltage Range: Operates safely across a wide 4.5V to 12V DC power input spectrum.
-
Wide-Angle Optics: Expansive field of view capturing Diagonal 84°, Horizontal 72.3°, and Vertical 57.2° to accommodate users of different heights.
-
Instant Cold-Boot Matching: Delivers rapid cold-start recognition times of $\le 1.0$ second.
-
Local User Storage: Supports an onboard local database hosting up to 50 unique users.
-
Reliable Working Range: Accurate recognition scanning from 0.4 to 1 meter away.
-
90° Wide-Angle Infrared Fill Light: Integrated 850nm IR illumination ensures consistent performance in complete darkness or harsh backlight.
-
Industrial ESD Countermeasures: Human Body Model (HBM) meets ANSI/ESDA/JEDEC JS-001 specs at $\pm 2\text{KV}$; Charged Device Model (CDM) complies with JEDEC JESD22-C101 standards at $\pm 500\text{V}$.
-
Compact Footprint: Miniature 39×19.6mm architecture allows effortless integration into tight commercial lock designs.
Technical Specifications
| Category | Parameter | Specification |
| Hardware Core | Processor | Professional-grade, high-performance Edge AI processor |
| Module Dimensions | 39mm $\times$ 19.6mm | |
| Core Function | Biometric Face Recognition & Liveness Detection | |
| Electrical | Operating Voltage | 4.5V – 12V DC |
| Power Consumption | Average: 0.9W | Peak: 1.75W | |
| Operating Current | 5V $>$ 500mA | 12V $$$ 200mA | |
| Environmental | Operating Temperature | -20°C to +60°C |
| Storage Temperature | -40°C to +70°C | |
| Operating Humidity | 10% to 93% RH (Non-condensing) | |
| Biometric & Optical | External Communication | UART_3.3V (Default Baud Rate: 115200 bps) |
| Imaging Stream | Max: $1600 \times 1200$ @ 15fps (Dual IR Stream) | |
| Lens Parameters (FOV) | Horizontal: 72.3° | Vertical: 57.2° | Diagonal: 84° | |
| Infrared (IR) Illuminator | Wavelength: 850nm | Beam Angle: 90° | |
| Max User Database | 50 Faces | |
| Cold Boot Recognition Speed | $\le 1.0$ second | |
| Enrollment Mode | Single-frame / Multi-frame registration | |
| Liveness Detection Accuracy | TAR: 99% @ FAR: 1/100,000 | |
| Face Comparison Precision | TAR: 99% @ FAR: 1/1,000,000 | |
| Target Distance Range | 0.4m – 1.0m (Optimal distance: 0.5m) |
Contact our engineer teams Today!
-
Official Website: www.joyllon.com
-
Email: chinaok321@gmail.com
-
WhatsApp: +8613713792667










