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ManufacturingEmbedded Systems
IoT-Powered Smart Factory Monitoring
An end-to-end IoT monitoring system deployed across 12 manufacturing plants, providing real-time equipment health tracking and predictive maintenance alerts.
Key Result:40% downtime reduction
The Challenge
SmartFactory was losing millions annually to unplanned equipment downtime. Maintenance was entirely reactive, with no visibility into equipment health until failures occurred.
Our Solution
We deployed custom sensor networks with edge computing nodes, built firmware for real-time data collection, and created a cloud dashboard with ML-powered predictive maintenance algorithms.
Results
- 40% reduction in unplanned downtime
- 30% decrease in maintenance costs
- Real-time monitoring of 500+ machines
- Predictive alerts 72 hours before failures
Technologies Used
C++RustMQTTAWS IoTPythonTensorFlowReactTimescaleDB