Preventing COVID-19 contagion in industrial environments through anonymous contact tracing
The project aims at designing an energy autonomous, inexpensive, anonymous, and non-intrusive contact tracing for preventing COVID-19 contagion in industrial environments. Students are asked to develop wearable tags that combine information from ultra-wideband positioning, Bluetooth low-energy, and inertial measurement units to classify contagion risks due to small distance and mutual orientation between workers. The pilot should feature a real-time detection of risk occurrences, while an offline report generation should provide the employer to assess the workplace's risk level daily. The goal it to facilitate the re-layout of the environment (e.g., workstations, equipment...) or the re-schedule of the tasks. The wearable tags are conceived to operate for an extreme lifetime, thanks to specific power management and an energy harvesting feature that converts power from the surrounding environment.
