Project Overview
Industrial IoT monitoring platform for manufacturing facilities with predictive maintenance and quality control analytics.
The Challenge
Monitoring 10,000+ sensors across multiple facilities with real-time anomaly detection and predictive insights.
Our Solution
Deployed edge computing nodes for local processing with cloud-based ML models for predictive maintenance.
Key Results
45% reduction in downtime
Real-time monitoring of 10,000+ sensors
Predictive maintenance accuracy 94%
$5M annual savings
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