Real-Time Fault Detection
& Isolation using Pi-IoT
Detect and isolate machine faults in real-time using Pi-IoT integration. Achieve predictive, self-healing operations with explainable edge processing.
About Pi-IoT
PI-IoT integrates AI-driven analytics and edge computing to deliver instant fault detection, predictive alerts, and data-driven insights. Combining secure MQTT/HTTPS protocols and interpretable dashboards, Pi-IoT ensures safer and more efficient industrial operations.
Core Features
AI-Powered Analysis
ML and DL models detect anomalies and classify faults in real time.
Edge Intelligence
Edge preprocessing minimizes latency and enables sub-second fault isolation.
Secure & Scalable
Encrypted MQTT/HTTPS communication supports thousands of nodes.
Predictive Alerts
Receive proactive notifications before faults occur.
Analytics Dashboard
Visualize IoT data and AI predictions interactively.
Seamless Integration
Easily integrates with existing systems and cloud platforms.
System Architecture
User Interface Layer
Interactive dashboards and automated alert systems enable real-time visibility and swift intervention.
AI Analytics Layer
Machine learning and deep learning models analyze incoming signals for anomaly detection and fault classification.
Connectivity Layer
Secure protocols (MQTT, HTTPS) transfer data efficiently to central/cloud infrastructure.
Edge Device Layer
Microcontrollers/edge nodes preprocess and filter raw data for minimal latency and efficient transmission.
Key Metrics
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Active Sensor Nodes
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Detection Accuracy
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Fault Isolation Time
Get in Touch
Interested in a demo or collaboration? Fill out the form and our team will contact you soon.