Gesture Recognition
Train a motion-based classifier to detect gestures from IMU data and run inference on MCU hardware.
TinyML Projects
Hands-on project pathways mapped to increasing complexity so you can evolve from proof-of-concept prototypes to expert-grade embedded intelligence systems.
Train a motion-based classifier to detect gestures from IMU data and run inference on MCU hardware.
Create a lightweight audio event detector with signal preprocessing and threshold confidence handling.
Deploy a compact wake-word model and benchmark latency, memory, and inference confidence.
Fuse multiple sensor streams for activity intelligence, battery-aware runtime, and event-driven alerts.
Build a robust safety classifier with temporal windows and false-positive mitigation.
Implement anomaly scoring on-device for equipment monitoring and early warning systems.
Integrate sensor fusion and intelligent decision triggers under tight real-time constraints.
Deploy continuous monitoring intelligence for fault prediction and maintenance scheduling signals.
Build responsive autonomous micro-robot behavior using constrained perception and control loops.
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