Public washrooms can be a rough time for users thanks to lots of traffic, clogged toilets, missing toilet paper and more. There’s rarely opportunities to easily provide feedback on these conditions. For management, washrooms often get cleaned too frequently or rarely at all. Let’s bring simple sensors to track the status of frequently used facilities to optimize cleaning for businesses and help users enjoy their shit.

What it does

System of IoT sensors, opportunity for gesture-based user feedback, streamed to a live dashboard to give management updates We track: -Traffic into washroom -Methane levels -Fullness of trash cans We provide: Refill buttons in each stall Prompt for facility rating using Leap Motion gesture tracking

How we built it

Used Snapdragon to attach three sensors for data collection purpose to track cleanliness in washroom Used Leap Motion to create interactive dashboard to rate they experience through gestures - more sanitary and futuristic approach, incentivizing users to participate All data pushed up to Freeboard where management can see the status of their washrooms

Challenges we ran into

Tricky using documentation with Leap Motion, didn’t take into account web apps need time to load, wouldn’t load body; also challenging to build hand recognition from the ground up Getting hardware to work: Snapdragon with shield doesn’t have documentation - normal arduino code wasn’t working Integrating data with IoT dashboard

Accomplishments that we're proud of

Found cool solution to get data from sensors to dashboard: wrote to serial, read that, used a python script, and then used to publish to freeboard Building hand recognition in Leap Motion

What we learned

Learned to use Leap Motion Live data transmission with multiple sensors Integrating a ton of IoT data

What's next for Facile

Store data online so that we can use ML to understand trends in facility behaviour, cluster types of facilities to better estimate cleaning times Talk to facilities management staff - figure out current way they rate and clean their washrooms, base sensors on that Partnering with large malls, municipal governments, and office complexes to see if they’d be interested Applicable to other environments in smart cities beyond bathrooms

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