Project

POC Proximity Chat

Advanced Ultra-Wideband (UWB) communication system for proximity-aware group interaction.

October 2025
Ultra-Wideband IoT Development ESP32 Raspberry Pi Hub

The POC Proximity Chat project was developed as a technical proof-of-concept for high-precision interactive communication systems. Utilizing Ultra-Wideband (UWB) technology via Qorvo DW3000 modules, the system enables sub-decimeter distance measurement between mobile participants, translating physical proximity into dynamic digital interaction.

The architecture consists of multiple portable ESP32-UWB units communicating with a central Raspberry Pi hub. The hub processes real-time distance data and serves a professional web interface that visualizes spatial relationships and connection status across the network. This setup was optimized for large-scale SLVN Events, demonstrating the potential for seamless, location-aware audio and social experiences.

This feasibility study proves the viability of high-accuracy spatial awareness in dense environments, combining real-time communication protocols with distributed embedded systems.

Who is this for?

This proximity chat system is especially useful for organizers of large-scale events who want to give visitors a playful, technology-driven way to interact based on how physically close they are to one another. It's also a strong reference for companies looking to have their own proof-of-concept built around wireless positioning, IoT networking, or real-time data processing. And it's worth a look for anyone curious how physical proximity between people can be translated into a digital experience without relying on GPS or fixed wiring.

What makes it special?

What makes this project stand out is the combination of high accuracy and scalability. Using Ultra-Wideband technology, the system measures the distance between participants down to a fraction of a decimeter and translates that physical proximity directly into digital interaction. Multiple portable units communicate with a central Raspberry Pi hub, which processes all distance data in real time and visualizes it through a clear web interface. Because the setup has already been deployed during large-scale SLVN Events, it has proven itself in a busy, real-world environment rather than just on a test bench.

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