electronixxx / beesafe

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BeeSafe 🐝 😷

BeeSafe is a P2P Android Application which detects and notifies you about crowds in your local area. It scans continously in background for devices using Bluetooth and uploads data to a real-time database. This data is later shown on a heatmap which approximates the number of people located in a certain area.

Note:

This App is just a proof of concept. It won't really protect you from a pandemic like Covid-19 by displaying the crowds, since this is neither accurate, nor easily possible because of different factors. We reccomend you to take in consideration the following behaviors, suggested by World Health Organization about the Covid-19 pandemic:

• 🚫🤦 Don't touch your face

• 🧼🖐⏲ Wash your hands regularly

• 🚇😷🛒 Wearing a mask in public

• 🚫🧑‍🤝‍🧑 No close contact

• 🚫🏟 No large gatherings

Author Contributions

• Hernest Serani (electronixxx) - Android App Development & Firebase Database
• Enrico Baldasso (Enrico874885) - Firebase Functions
• Stefano Cappon (876895) - Database & Testing

Screenshots

App Screenshots

Notifications Screenshots

How it works?

BeeSafe is made for the course Software Engineering AA 20/21 Ca' Foscari University. It shows the crowds nearby your location and represent them using a HeatMap. It has a background service which scans the current location continuously by a tracing algorithm. The scan gets uploaded to a realtime database. A location is represented using a GeoHash for privacy purposes and efficiency. No personal data which can identify you are stored on the server.

The user has the possibility to save a favorite location and get notified every time the location gets crowded. To add a favorite place, the user should long click on a location on the map. Then, a popup will be displayed where can enter a custom name for that location and enable or disable the notifications. To see information about a saved place, the users clicks on the pinpoint generated by the app, where a new dialog shows information about this place like the density, last update and an approximation made by the tracing algorithm. The user can remove a favorite place from saved.

Data on the realtime database gets refreshed often to improve the approximation, and moved to a new database, which holds one-week data. These data is used byt the prevision algorithm to predict a crowd place. Predication is not yet supported, and will be as a feature, planned for newer releases.