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Manufacturing & Industrial IoT (IIoT)

IIoT Quality Control System for "Precision Parts Inc."

Deployed an IIoT system to monitor production line variance, enabling instant failure detection and reducing material waste by 15%.

Understanding the Problem

Precision Parts suffered from intermittent, costly defects in their high-volume production line that were only discovered during final inspection. The lack of real-time monitoring meant thousands of parts could be wasted before the fault was manually identified.

Engineering Innovation

We integrated low-latency IoT sensors into the machinery. A custom edge computing layer filtered and transmitted critical data to a cloud dashboard. This platform used anomaly detection algorithms to flag production variance instantly, triggering maintenance alerts before a failure could occur.

Measurable Results

15% reduction in material waste and scrap
Real-time anomaly detection with 98% accuracy
Zero unscheduled downtime in 18 months
Predictive maintenance scheduling based on sensor data
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