Counting Mask Wearers on Swiss Transport with AI
Bern, Lausanne, Zürich
(2020)
Scale:
City Level
Cameras placed at strategic points at train stations in Swiss Cities used Artificial Intelligence to assess how many people wore hygiene masks. The software evaluated on site whether masks were worn by commuters. The analysis was done before and after mask regulations were implemented.
Companies
Challenge / Goal
To assess the prevalence of hygiene masks on commuters in Switzerland in response to the COVID-19 pandemic.
Solution
We set up counting stations at well-frequented locations. The station cameras filmed the flow of people, and the software evaluated on-site whether the people were wearing a mask or not. We don't use face recognition, so we can never tell who's wearing a mask. Only the amount of people with/without a mask is calculated.
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Log inTime period
Planning time: < 0.5 years
Implementation time: < 0.5 years
Implementers
SWISSTRAFFIC
Service providers
SWISSTRAFFIC
End users
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