ECP5 based Convolutional Neural Network (CNN) acceleration for face tracking with 8 convolution layers implemented in 8 Neural Network (NN) engines on ECP5-85K FPGA.
Standalone operation based on Embedded Vision Development Kit tracking face movements.
Green box indicates location of face in image.
Features
- Runs @ 14fps with 90 x 90 RGB Input
- Configuration files provided for rapid implementation on Embedded Vision Development Kit
- Up to 200fps possible with 32 x 32 RGB Input
- Total ECP5 power consumption of 0.85 W
