Measure anything. Monitor it anywhere. Act on it automatically.
iRemoteSense is a modular remote sensing and monitoring platform that lets businesses measure, visualise, and control physical conditions in real time — from a single browser tab, anywhere in the world.
Built on a robust embedded hardware core with LoRaWAN wireless connectivity, iRemoteSense can be configured for a wide range of sensor types and industrial applications — without requiring on-site presence or permanent internet infrastructure at the measurement point.
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At its core, iRemoteSense is about bringing visibility to physical environments that are hard to reach, expensive to staff, or critical to monitor. Whether it's vibration levels in a transport container, temperature in a cold storage facility, or environmental conditions on a remote industrial site — iRemoteSense captures the data, transmits it wirelessly, and presents it in a clear, actionable dashboard.
The platform is designed to be sensor-agnostic. By connecting different sensor modules to the hardware core, iRemoteSense can be deployed across entirely different use cases without redesigning the system from scratch. New measurement concept? Swap the sensor, update the config, and you're live.
Where iRemoteSense goes further is in its AI integration. Collected data is not just displayed — it is analysed. Patterns are identified, anomalies are flagged, and where appropriate, automated responses are triggered. The system can be configured to take safe, autonomous actions based on predefined rules or AI-driven insights — reducing the need for human intervention and enabling truly smart remote operations.
The first live application of iRemoteSense is Cargosys — a vibration monitoring system for transport and logistics. Sensor nodes installed in cargo containers or on transport vehicles measure real-time vibration data throughout a journey, transmitting wirelessly via LoRaWAN to a central dashboard.
Cargosys allows logistics companies to monitor the condition of sensitive cargo in transit, detect handling incidents, and generate detailed reports per shipment — without any manual data collection on the road.
This is the first of multiple planned deployments across different industries and sensor types.
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