Developing an IoT Monitoring System

The machines used had limited visibility into how each unit was performing once deployed. Operators could not track production, consumption, device health or maintenance needs without physically checking the machine. The company needed an IoT based smart device to add real-time monitoring and operational insight without interfering with the core hardware that produces water.

As the technical lead, we helped shape the architecture, guide the telemetry strategy, and design a platform that could support both individual devices and future device growth.

We developed a custom IoT platform using Raspberry Pi agents to collect temperature, humidity, tank level and water-flow data from each machine. This data is sent to a Django backend for device management, telemetry, alerts, maintenance tracking and historical analysis.

We also built two dashboard experiences that are hosted simultaneously. The first is a hosted frontend for fleet-level visibility and remote access, and the second is a locally hosted frontend on the Raspberry Pi so users can still monitor their device without internet connectivity.

• Turned isolated water machines into a connected, remotely monitored fleet - reducing the need for manual inspections.
• Delivered real-time visibility into production, consumption, and device health, with resilience built in for offline environments.
• Successfully assisted from concept to reality - the first devices will soon be available.