RTLS asset tracking

Manufacturing Shop Floor Visibility & WIP Tracking

Production Shop Floor Dashboard: Real-Time Visibility for Factory Floors A production shop floor dashboard gives plant managers a single, live view of machine status, work-in-progress (WIP), quality metrics, and inventory levels across the factory floor. Instead of waiting for end-of-shift reports or piecing together data from separate systems, supervisors can see what is happening right now and act on it immediately. This matters most for small and medium manufacturers who cannot justify a full MES rollout but […]

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Real time Location System, RTLS solutions for warehouse

IoT Sensors for Predictive Maintenance & Asset Health

IoT Sensors for Predictive Maintenance & Asset Health Eliminate unplanned equipment downtime and move from costly reactive repairs to automated, condition-based monitoring. The RipplesIPS range of IoT predictive maintenance sensors provides continuous, real-time health telemetry for heavy industrial machinery, pumps, motors, compressors, and plant infrastructure. Engineered for harsh industrial environments, our zero-wire telemetry nodes capture critical operational health metrics—including tri-axial vibration, casing surface temperature, and total run-time hours—delivering automated early warning indicators long before mechanical failure occurs. […]

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RTLS asset tracking

Smart Factory Efficiency Through Pallet Tracking

Eliminating Shop Floor Bottlenecks Invisible bottlenecks like lost pallets, manual sorting errors, and delayed material requests erode manufacturing margins. By integrating 0-wire BLE mesh tags, pick-to-light systems, and real-time pallet tracking, plants shift from reactive firefighting to automated precision. Zero-Wire Deployment: Set up tracking infrastructure in days without cabling. Strict FIFO Compliance: Real-time location logic ensures production pallets move in correct sequence. Instant Workstation Alerts: Wireless button tags streamline material requests instantly. Optimising the Modern Manufacturing Environment: […]

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