AI-MEMS Sensors for Preemptive Maintenance (Phase I)

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We have developed a new class of MEMS devices that add artificial intelligence (AI) capabilities to sensors. This unique technology has been validated thoroughly in the laboratory, and is now entering a phase of prototype demonstrations in real world applications. These prototypes demand improved robustness, packaging, integration with the MEMS drive electronics and training software. The objective of the proposed I2I Phase I project is to deliver these improvements by creating an AI-MEMS sensor platform to detect faulty machinery automatically to trigger preemptive maintenance actions in an industrial setting. The proposed AI-MEMS sensors will be small, fully autonomous, and robustly packaged for an industrial environment. They will be trained to separate abnormal conditions from normal operation, and to report wirelessly the detected abnormalities.