ASUS IoT Facial Recognition Dev Kit is a one-stop solution for identifying faces and other key personal markers. It pairs the renowned ASUS Tinker Board 2 with FaceMe® Software Development Kit (SDK) from CyberLink to create a powerful package that’s capable of recognition with up to 98.35% accuracy, and at fast 154 ms inference speeds.
Features include:
Face Detection
Mask Detection & Recognition
Face Recognition
Anti-Spoofing
Face Attributes
Application Scenarios:
Access Control
- Record who uses a meeting room
- Manage room capacity
- Only allow authorised people to access to certain areas
- Enable easier warehouse deliveries or restocking via a touch-free interface
Attendance Management
- High-accuracy attendance system management
- Build a database for security management
Smart Retail
- Decipher customer attributes, including gender, age and pose, for targeted marketing
- Build VIP lists to provide customised products or services
- Recognise emotions at the point of sale
- Enable online order and pick up from store without employee interaction
- Monitor customer dwell time
Tinker Board 2
- Rockchip RK3399
- CPU: Dual core ARM Cortex A72 @ 1.8GHz +
- Quad core ARM Cortex A53 @ 1.4GHz
- GPU: ARM Mali T860 MP4 @ 800MHz
- Memory: Dual CH LPDDR4 2/4GB
- Operating System: Debian9 / Android 10
- 3 x USB3.2 Gen1 TypeA
- 1 x USB3.2 Gen1 Type C OTG
- RJ 45 GbE LAN/802.11ac + BT 5.0 2T2R
- 1 x mPCIe slot for 4G/LTE
- Multiple external Interface
- up to 28 x GPIO pins
- up to 2 x SPI bus
- up to 2 x I2C bus
- up to 2 x UART
- up to 3 x PWM
- up to 1 x PCM/I2S
- up to 1 x S/PDIF TX
FaceMe® SDK
- Android OS 10
- CyberLink FaceMe® SDK
- Optimised for Tinker Board 2
- Execution Time (Detection + Extraction): 154ms
- Frames per second (fps): 3.2
- Highly Ranked in NIST FRVT 1:1
