Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator

The setup includes a host PC, camera and microphone sensors, and a Pynq-Z2 FPGA board. The neuromorphic cochlear model and RAMAN accelerator for neural network inference are deployed on the FPGA. The ARM processor on the FPGA sends the image received, cochleagram and the classified outputs to the PC to be visualized.