WienConnect

Intuitive lockscreen notifications combined with digital optical verification

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Description

Our Method

  • Verification: Aztec Code Scanning
    1. Offline 2D Aztec code changing over time (no single static image -> transfer hardly possible e.g., screenshot)
    2. Ticket code bound to account; account bound to one device at a time
    3. Why we did NOT consider the following technologies:
      • QR Code: Aztec = standard for transportation, …
      • BLE/NFC: Lacking support of older devices, must be activated; NFC = no “corona” distance
  • Ticket inspection speedup: (semi-)permanent notifications when needed
    1. Notification shown if:
      • Inspector in range of passenger (through iBeacons as they are still activated even if Bluetooth is deactivated via quick settings)
      • Fixed schedule or manual activation by passenger as fallbacks
    2. Tap on notification directly opens ticket in app (fast & simple)
    3. Why we did NOT consider the following technologies:
      • Digital wallet: overall usage, only 16 percent; multiple implementations to maintain
      • Location services: location-based services must be activated, data protection issues, unreliable
      • Verification code directly on lockscreen: major security concerns, image of code too small, easily shareable (screenshot)
    4. Optional in future: beacons for stations, trains, …


 Example Scenarios

  • Scenario 1: Passenger device DOES have Bluetooth support
    1. Inspector enters transportation vehicle.
    2. Passengers' phones vibrate due to notification being triggered via iBeacons.
    3. Passengers intuitively look at their phone screen, tap the notification and open the “WienConnect” app
    4. Drastically decrease ticket validation time because passenger already has phone and ticket ready to be checked by upcoming inspector due to being notified just in time.
  • Scenario 2: Passenger device does NOT have Bluetooth support
    1. Inspector enters transportation vehicle.
    2. Passengers take out their phone if they hear or see the inspector asking for a valid ticket
    3. They have set up one of the 2 fallback scenarios, a notification is displayed on their phones lockscreen
    4. By simply tapping the notification they unlock their phone and get redirected to the “WienConnect” app
    5. The ticket is available to be verified by the ticket inspector
    6. Decrease ticket validation time by combing unlocking of the phone, searching the app and opening the ticket into a simple and easy step, that can be quickly done even if the inspector stands right in front of a passenger


Our Implemented Features


User App “WienConnect”

  • ✅ PWA: Android, iOS; Quasar 
  • ✅ Easy to use, intuitive interface
  • ✅ Secure storgage fot ticket tokens
  • ✅ Local dynamic changing tickets --> offline usable
  • ✅ Overview page:
    1. ✅ Currently valid ticket
    2. ✅ Button for manual notification activation (view ticket on lockscreen or status bar at specific time -> see fallbacks)
  • ✅ Account page:
    1. ✅ Account settings (name, image)
    2. ✅ Configure notifications (fixed schedule, disable iBeacons)
  • Nice to have but not implemented:
    • Wizard: show how it works
    • Ticket history
    • Buy ticket and Routes page

 

Inspector App

  • ✅ PWA: Android, (iOS possible); Quasar
  • ✅ Easy to use, intuitive interface
  • ✅ Main page:
    1. ✅ Scanner for verification
    2. ✅ Start inspection button (send notification to user devices with valid ticket ONLY)
    3. ✅ Current information about inspected ticket (name, validity, user + image)
    4. ✅ Ticket counter on top of screen
  • ✅ Settings page for current inspections: line, inspector account, …
  • Nice to have but not implemented:
    • Wizard: show how it work
    • Statistics page to view own ticket validation history (today, past week, month) --> viewable as charts and graphs (also log verification failures, passenger didn’t have a ticket etc.)

 

Statistics Dashboard

  • ✅ Data analysis:
    • ✅ Validated tickets + Information
    • ✅ Tickets bought


Backend

  • ✅ Python Flask
  • ✅ Database (SQL): users, tickets
  • ✅ REST APIs
    1. ✅ User:
      • ✅ Ticketing account settings
      • ✅ Ticket code generation
    2. ✅ Inspector:
      • ✅ Inspector account management
      • ✅ Ticket verification
    3. ✅ Statistics: Valid, Invalid, Overall checked...
  • Nice to have but not implemented:
    • AI trained CNN for data analysis --> where do the most passangers try to omit buying tickets...


Who we are



Name: Ing. Helmut Resch, BSc 


https://www.linkedin.com/in/helmutresch/ 


Education:

  • Engineer's degree - Building technology HVAC - HTL Vöcklabruck (1991 - 1996)
  • Bachelor's degree - Electronic engineering - UAS Technikum Wien (2016 – 2019) 

Experience:

  • SAMsoric GmbH (www.samsoric.com) - 2 years
    • Developing smart solutions for the waste industry mainly with Linux based SOC and Python.
  • Ortner GmbH (www.ortner.com) - 14 years
    • Commissioning, project management and site supervision for international HVAC projects.

Since many years, I am realising small, private projects with Raspberry Pi, Arduino, ESP and Teensy. Programming languages: Python, Java, C 

A big field of interest is machine learning and machine vision. 




Name: Christoph Swoboda, BSc 


https://www.linkedin.com/in/christoph-swoboda-611687162/ 


Education:

  • Engineer's degree - Electronic engineering - HTL Donaustadt (2011 - 2016) 
  • Bachelor's degree - Electronic engineering - UAS Technikum Wien (2016 - 2019)
  • Master’s degree - Embedded systems - UAS Technikum Wien (2019 – today) 

Experience:

  • Elektrobit GmbH - 2 years
    • Developing software for the automotive industry with Python and C. 

In my freetime, I am developing full stack applications and smaller private projects.

Programming languages: TypeScript, JavaScript, Python, C 




Name: Johannes Balog, BSc 


Education:

  • Engineer's degree – Electrotechnical engineering - HTL Wien 10 (2011 - 2016) 
  • Bachelor's degree - Electronic engineering - UAS Technikum Wien (2016 - 2019) 
  • Master’s degree - Embedded systems - UAS Technikum Wien (2019 – today) 

Experience:

  • Elektrobit GmbH - 2 years 
    • Developing software for the automotive industry (AUTOSAR) with C. 

In my spare time, I am developing full stack applications (mainly frontend and app UI development)

Programming languages: JavaScript (Vue), C, Python (VHDL) 


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