Guide Air Labs

Project SHIELD: Embedded AI for Real-Time Sensor Health Management

Project SHIELD (Smart Hardware Inspection for Early Latency Detection) addresses a critical gap in safety-critical embedded systems: the lack of proactive, on-device sensor failure detection. Sensor degradation in UAVs, autonomous vehicles, and medical devices often goes undetected until functional loss, with potentially catastrophic consequences. To support a predictive TinyML framework, the team designed a custom DAQ PCB around an ESP32-S3, integrating eight sensor modalities including IMU, barometer, microphone, temperature, photodiode, vibration, and current sensors. Data collection spans nominal operation and fault injection, generating a labeled dataset for ML model training.