Product Description
Vibration Anomaly Detection Monitor Kit for XIAO ESP32-S3 Open Source Lightweight Real-Time Predictive Maintenance Fault Detect
Vibration Anomaly Detection Monitor Kit for XIAO ESP32-S3 Open Source Lightweight Real-Time Predictive Maintenance Fault DetectThe Vibration Anomaly Detection kit is an lightweight intelligent solution designed to monitor and identify abnormal vibration patterns in real-time. By learning a device’s normal vibration signature with minimal training data, it provides early warnings for mechanical faults, wear, or failure—preventing catastrophic damage before it happens. It's ideal for predictive maintenance on industrial machinery, safety monitoring in vehicles, structural health assessment of bridges/buildings, ensuring precision in manufacturing/lab equipment, and enabling anomaly detection in smart appliances/IoT devices.
Feature
Real-Time 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 on XIAO S3, making it ideal for battery-powered or resource-constrained applications.
Plug-and-Play Hardware Setup:Composedof XIAO and Grove ecosystem modules, easily attachable to machines, motors, or moving components for seamless vibration tracking.
Edge 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.
Open Source:Source code is 100% open source and can be deeply tailored to apply to diverse needs.
SpecificationFeature | Specification |
Product Name | Vibration Anomaly Detection Kit for XIAO ESP32-S3 |
Processor | Seeed Studio XIAO ESP32-S3 (Xtensa LX7 dual-core, up to 240MHz) |
Wireless Connectivity | 2.4GHz Wi-Fi, Bluetooth 5.0 (BLE) |
Memory | 8MB PSRAM,8MB Flash |
Vibration Sensor | Grove - 3-Axis Digital Accelerometer (LIS3DHTR) |
Sensor Interface | I2C |
Measurement Range | ±2g / ±4g / ±8g / ±16g (Selectable) |
Expansion & Power | Grove Shield for XIAO with onboard battery management |
Interfaces | 1x USB Type-C 2x Grove I2C 1x Grove UART 3x Grove A/D |
Power Supply | 5V via USB Type-C / 3.7V LiPo Battery |
Operating Temperature | -40°C ~ 65°C |
Predictive Maintenance for Machinery:Attach to pumps, motors, and conveyor belts to provide early warnings for bearing wear, imbalance, or structural faults, reducing downtime and preventing costly failures.
Smart Appliances & HVAC Systems:Integrate into washing machines, refrigerators, or air conditioners to intelligently detect abnormal vibrations, triggering maintenance alerts to the user or enabling automatic safety shutdowns.
Structural Health Monitoring:Deploy on bridges, buildings, or historical monuments to continuously monitor structural integrity, tracking vibrations to detect subtle changes caused by stress, fatigue, or environmental factors.
Asset & Vehicle Monitoring:Install in vehicles or on valuable shipped assets to record and identify shock events or unusual operating vibrations during transit, ensuring asset safety and operational compliance.
Part ListSeeed Studio XIAO ESP32-S3 (Pre-Soldered) x1
Seeed Studio Grove Base for XIAO - with embedded battery management chip x1
Grove - 3-Axis Digital Accelerometer, ultra-low-power and high performance linear accelerometer powered by LIS3DHTR(ST), with dynamically selectable scale and multiple digital output interfaces x1
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Condition
Brand New
Shipping
This item is shipped directly from our supplier in China with tracking.