A key player in Yarn manufacturing reduces capital cost by 10% and increases revenue by 18% by using an IoT framework developed for the early detection of anomalies. The client had issues identifying rogue spindles that caused breakages and created inefficiencies. The client needed a central monitoring application (and IoT hardware integrated with the cloud) that could better manage defects and yarn breakages.

The objectives agreed upon were to:

• Monitor the quality of yarn produced in the last phase Identify rogue spindles and alert floor operators
• Improve productivity and reduce wastage

IoT hardware integrated with the cloud was manufactured to detect failures and rogue spindles early. This helped the manufacturer reduce expenses by 10% and increased revenue considerably.