Industrial Revolution at the Edge
SpinSafe is an autonomous predictive maintenance system designed to modernize legacy industrial motors. By shifting intelligence from the cloud to the hardware itself, it enables sub-second reaction times to mechanical anomalies.
The system utilizes a retrofittable hardware node that captures multi-axis vibration, temperature, and electrical load data, processing it through a local AI gateway that retrains its models every 10 seconds to adapt to each specific motor's "healthy" baseline.
Core Innovations
- Dynamic Baseline Learning: Retrains a Decision Tree classifier every 10 seconds to detect unique precursors to failure.
- Hardware-Level Interrupts: Bypasses network latency to cut power in milliseconds during critical failures.
- Multi-Sensor Fusion: Integrates MPU6050 vibration analysis with thermal and current telemetry.
- Zero-Cloud Dependency: Operates fully at the edge, ensuring security and maximum uptime for industrial networks.
- Legacy Integration: Designed as a retrofittable node for rapid deployment across existing motor fleets.