Terminal density estimation based on WiFi packet analysisThe terminal density estimation system is an innovative product developed by the research group coordinated by Prof. Fabio Lavagetto. Video technologies are similarly effective for the same purposes, but the management of the data collected is critical in terms of privacy. Similarly, in the past, technologies made use of telephone coverage (cell-based identification), which is now prohibited by law. The use of WiFi network nodes overcomes the legislative issue, as it is not traceable. Objective The objective of the project is to employ WiFi network nodes for the purpose ofanalysing flows of people (e.g. crowds of people) in order to estimate the crowd density. It has numerous possible applications and, in general, can be used for the management of flows of people (e.g. public events), in the optimisation of fleets of means of transport and for the organisation of operators/staff. Advantages The main advantage of the proposed technology is that it can be used to supplement existing and already deployed video technologies. It is not particularly invasive and is characterised by its lightness in terms of data storage. It also guarantees the anonymity of the collected data. Areas of application and users The sectors of potential application are: transportation sector tourism sector Possible users include: public transport companies: analysis of passenger numbers on vehicles and at stops, waiting times for vehicles, assessment of needs and capacity cruise terminals and airports: crowd density measurement, movements on established routes, assessment of dwell/transfer times (optimisation of boarding procedures), baggage handling civil protection: crowd density at public events museums: visitor flow management Enhancements Possibility to carry out further demos in relevant environments. Following the first field validations at Maritime Stations, we will evaluate patent space. Download sheet References Demo in IoT laboratory DITEN UniGe. Use Case at Genoa Maritime Stations for the estimation of the density and movement of people at embarkation points (end of 2024). Websites: diten.unige unige.labs Network of WiFi access points connected to sniffing software for terminal density estimation. Contact Scientific Officer Fabio Lavagetto Information Technology and Knowledge Transfer Service Department for Research Enhancement, Technology Transfer and Business Relationstrasferimentotecnologico@unige.it tel. 010 2095922
