Seeed Studio Vibration Anomaly Detection Kit for XIAO ESP32-S3,Monitor/IDentify Abnormal Vibration Patterns Real-

Seeed Studio Vibration Anomaly Detection Kit for XIAO ESP32-S3,Monitor/IDentify Abnormal Vibration Patterns Real- Kuvaus

Real- Vibration Monitoring: Continuously analyzes 3-axis accelerometer data to detect subtle deviations from normal operational patterns.

Fast Training: Requires only a short sample of normal vibration data to establish a reliable detection baseline, enabling rapid deployment.
Threshold-Based Anomaly Detection: Uses Euclidean distance metrics to compare live data against learned templates, ensuring precise abnormality recognition without complex AI models.
Low-Power Embedded Hardware: Runs efficiently XIAO S3, making it ideal for battery-powered or resource-constrained applications.

Plug-and- Hardware Setup: Composed of XIAO and Grove ecosystem modules, easily attachable to machines, motors, or moving components for seamless vibration tracking.
Detection without Cloud Dependency: he inference runs locally-no internet or cloud service required (event output can be sent via the internet though).
SenseCraft AI Integration: Visualize vibration data, configure system alerts, and quickly fine-tune thresholds with the friendly SenseCraft AI web UIs.
Color: Black
Material: PCB

Package Contents:
1*Vibration Anomaly Detection Kit

Only the above package content, other products are not included.
Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.