Covid-19 IoT Traceability & Contamination Control

During Covid-19, operational teams needed a practical way to record movement and possible contact events without relying entirely on manual logs. The challenge was to design a traceability flow that could connect physical checkpoints to a central monitoring layer using lightweight and widely available embedded technology.

I designed an IoT architecture based on ESP devices, MQTT messaging and a Mosquitto broker. Each device represented a traceability point and published structured events through MQTT topics. The solution separated data capture, transport and visualization so that devices could remain simple while the central layer handled event correlation and monitoring. A JavaScript interface translated the incoming activity into an operational view that made device status and potential contact chains easier to understand.

The project demonstrated how embedded devices and event-driven communication can support contamination-control workflows while preserving operational continuity. It also established a reusable architecture for other industrial or workplace traceability scenarios that need low-overhead data collection and centralized visibility.