Face Recognition

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
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

Featured Products:

Contact Us for More Information