IoT and ML-Based Vibration Monitoring and Anomaly Detection System
Original price was: ₹7,999.₹5,600Current price is: ₹5,600.
This project develops an intelligent vibration monitoring system using a digital piezo disk vibration sensor. Designed for applications in industrial equipment monitoring, structural health analysis, and safety systems, the solution integrates with IoT platforms for real-time data acquisition, remote access, and cloud storage.
Machine learning algorithms analyze vibration patterns to detect anomalies, predict equipment failures, and provide insights into system health. Alerts are triggered for abnormal vibration levels, enabling proactive maintenance and reducing downtime. A mobile app provides live monitoring, historical data analysis, and customized notifications for enhanced decision-making.
Key Features:
- Precise detection and monitoring of vibration levels with IoT integration.
- ML-powered anomaly detection and failure prediction.
- Cloud-based storage for long-term data analysis and trend visualization.
- Mobile app for live monitoring, alerts, and performance insights.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students exploring IoT and ML applications in industrial and structural health monitoring.
