Ritik Shrivastava, Solutions Architect at BrainChip, demonstrates Akida micro-doppler radar classification, a powerful radar-based object classification solution that runs entirely on-device without internet connection.
Shrivastava showcases a live demo using BrainChip’s AKD1500 card attached to a Raspberry Pi, where the system detects and classifies between a bird and drone target in real time using radar. A live dashboard displays both a spatial scatter plot and a signal spectrogram alongside the classification result, proving that neuromorphic AI can deliver meaningful inference at the extreme edge. Compact, low-power, and always-on: Akida brings Physical AI to the most resource-constrained devices.
