Hand Gesture Detection

Lattice sensAI Reference Design

Customizable to detect hand gestures: This design implements a low power AI based system to detect hand gestures using an IR image sensor.

Optimized Power and Performance – iCE40 UltraPlus low power FPGA running the CNN compact accelerator engine is used for processing the images consuming few milli-watts of power.

Complete Reference Design - Training dataset, scripts for training using common Neural Network training tools and NN model are provided to enable modification.

Features

  • AI based on-device gesture detection processing
  • VGG like 8-bits CNN used inside of iCE40 UltraPlus at up to 10 frames per second
  • Adjustable Frame-rate. Can be optimized between power and response time depending on system needs
  • Gestures can be customized based on system needs
Lattice sensAI

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Documentation

Quick Reference
Technical Resources
TITLE NUMBER VERSION DATE FORMAT SIZE
iCE40 UltraPlus Hand Gesture Recognition Demo
FPGA-UG-02119 1.0 12/16/2020 PDF 993.2 KB
TITLE NUMBER VERSION DATE FORMAT SIZE
iCE40 UltraPlus Hand Gesture Detection - Documentation
FPGA-RD-02206 1.0 12/16/2020 PDF 4 MB
iCE40 UltraPlus Hand Gesture Detection - Project Files
1.0 12/16/2020 ZIP 16.4 MB

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