Creating a Visualisation of Classroom Noise Levels – Lessons Learned
Over the past two weeks, I’ve been working on creating a digital twin-style visualisation of classroom noise levels using Python, IoT sensors, and a Raspberry Pi. It’s been both rewarding and challenging, with some key lessons along the way: 🔹 Network challenges in institutional environments Deploying an IoT device at an institute is very different from using it at home. Eduroam requires specific network access and IP configuration, unlike a simple home WiFi connection. As a temporary workaround, I configured my mobile hotspot to use the same SSID and password as my home WiFi — a creative but short-term fix. Connecting properly to Eduroam is still on my to-do list. 🔹 Sensor limitations The GY-MAX4466 microphone module revealed its limitations: within a 3m radius, it was not sensitive enough to capture meaningful changes in noise levels. This highlighted the importance of sensor selection when designing monitoring systems for real-world environments. 🔹 Data visualisation experi...
