• The main processing element is the Lattice iCE40UP5k FPGA
  • 5K LUT's
  • 1 Mb RAM
  • 8 MAC units
• Main Onboard Sensor: Color, rolling shutter imager (Himax HM01B0)
• Other Onboard Sensors:
  • Knowles MEMS I²S microphone, expandable to a stereo configuration with an off-board I²S microphone
  • InvenSense IMU 60289 6-axis Gyro/accelerometer
• Memory:
  • 4 Mb qSPI Flash for FPGA bitstream/code storage
  • 64 Mb qSPI SRAM for temporary data
• LED's:
  • Tri-colour LED for a user interface driven by the FPGA
  • IR LED for low-light illumination with frame exposure synchronization
• GPIO:
  • Four GPIO, each with programmable IO voltage
  • Four-wire SPI host interface with programmable IO voltage
• Flexible Power Options:
  • Single 3.3 V operation, can supply 1.8 V and 1.2 V at 100 mA (max) to external devices using onboard LDO's
  • External 3.3 V, 1.8 V, 1.2 V for lower power operation
• Neural Network Support: Supports the Lattice SensAI toolchain using Tensorflow/Caffe/Keras for model development, quantization, and mapping to the SensAI Neural Network engines. Inference at >30 FPS at ~25 mW (average). Sample FPGA code provided for:
  • Vision-based people detection
  • Audio keyword detection
• Small size: 2 cm x 3 cm

Package Includes:

• 1 x Vision FPGA SoM