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.

Project start: 2019-05-01
Duration: 9 Months
Phase 1 Phase 2 Phase 3

Project Team

The main student team consists of 6 last semester Master students at University of Trento. They have studied mainly hardware and software codesign for IoT solutions. The team is mentored by a teacher.
Hardware design (2/2)
University of Trento
Software development (1/3)
University of Trento
GUI and Report generator (3/3)
Haaga-Helia (HAA)
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The health emergency connected to the spread of the COVID-19 epidemic worldwide has caused a substantial suspension of the vast majority of face-to-face work activities that characterize manufacturing companies. The gradual reduction of new infections achieved thanks to the lockdown, has brought attention to the topic of how “restarting” the activities into work environments, which must be carried out guaranteeing health security and avoiding the kick-off of a new phase of expansion of the disease due to contacts in the workplace. On the other hand, this moment of “forced renewal” could be the best opportunity to accelerate and implement the innovative technologies fostered for “Industry 4.0” because of the significant socio-economic changes that it promises to bring.

The project requests an inexpensive and non-intrusive contact tracing technology that employees could wear. Knowing with accuracy which areas are visited by operators and their interactions during working activities, may help to reduce contagion and improve the implementation of social distancing measures. Indeed, proper data analytics algorithms are developed to leverage the information generated by the wearable sensors to assess contagion risk for the different working operators, activities, and areas, thus representing a useful tool to prevent COVID-19 diffusion in workplaces.


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European IoT Development Network

IoT Rapid-Proto Labs is a higher education network combining ICT, Industrial Design and Industrial Engineering. Cross-border student teams from Finland, the Netherlands and Italy contribute to real-life IoT business cases with the support of their teacher-coaches.

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