Capgemini Supertechies: Heathrow Challenge

Capgemini Supertechies: Heathrow Challenge

Challenge:

Use SMAC (Social, Mobility, Analytics and Cloud) tools and provide solution to change the passenger behavior prior to security check and speedup the security check.


As per the data of 2013, total number of 72.3 million passengers traveled from Heathrow airport, which makes 198082 people traveling per day or 8253 people per hour. This causes long queues at the security check points and creates more delays which is really tiresome for passengers.

This problem can be solved or optimized to reduce the delays and improving passenger experience by using technology.


Solution:


Use SMAC stack to provide best passenger experience .



Pre-requisites:
  • Integrated with the Airport eco-system.
  • Airport-Airline interface where airlines will inform airport about passenger bookings to the airport
  • Integration with govt biometric identification system if any available (Not mandatory, this system will build it with the passengers as they check in)

System Architecture:
  • Centralized Application server hosted on Cloud:  
    • Centralized application server will work as middleware where it will manage cloud hosted data analytics platform 
    • Provide administrative UI and elegant dashboard to Airport management authorities
    • Interface with airlines to get passenger booking details
    • Integrated with social media 
    • Serve requests to Mobile applications
    • Generating heatmaps after analyzing queues and redirecting further passengers to other queues
  • Mobile Application:
    • This will provide passenger application where he will be entitled to view his boarding information, alert notifications
    • Security counters availability according to free/less crowded queues 
    • Provide various offerings
 
Working:
 
Assuming passenger is having mobile app installed passenger will need to add belongings he is carrying with himself during travel. Accordingly app will inform him which belongings he can keep in his cabin bag, which to keep in luggage bag and which ones are banned. He will get notified about his schedule through mobile app as well as travel and informed about probable security counters couple of hours prior check-ins. 
 
When user enters the airport he will go through Security metal detectors at the entrance and then through self assisted biometric checkup where his identity will be verified against available in the database. He will do the bar-code scanning of boarding pass as well. (can use thumb impression or retina scanning)

Once the user verification is done he will be divided in to the three classes fully verified, satisfactory and not verified through biometric checks.

Also at the same time mobile geo location monitoring will be started using wifi enabled tracking or iBeakon like tools (BLE). This will be monitoring passenger movement as well as heatmaps will be created to identify crouded and busy lines. Based on the analytic s further users will be redirected to less busy queues.

Fully verified and satisfactory class passengers will go through the queues which will be having lesser or security/baggage check. Non verified passengers will go through normal strigent security check. This will avoid/reduce random security check and provide faster passage to most of the passengers.

Each time passenger will be passed through the Heathrow security check, his information will be stored to further analysis. All the passengers will be given ratings.

Airport authority management will be continuously monitoring heatmaps and will direct there staff to the places where there is more crowded queues so as to serve speedily. Also they will be monitoring alarms raised by analytics system.

Analytics will be analyzing social media, biometric data, generating heatmaps and predicting security threats using passenger information.

Each passenger will be given ratings for each travel based upon categories he has selected and will be used for further security check analytics. 

How to encourage People to adopt this solution?
Encourage people to use this app by providing various options.
- Provide them information discounts/coupons at outlets nearby airport
- Provide them air-miles credit  etc.

Information about each SMAC components Features:
Social Media: 
Grab the social media feeds of the passenger which can be used following way:
  • This information will be used to analyze passenger specific trends based upon public information available for alerting on suspected passengers prior to journey (Security purpose)
  • Providing product/discount offerings at the airport based on analyzed interests
Mobility:
Provide a mobile App which will have following features:
  • Boarding information
  • Flight schedule details (Arrival/departure)
  • Security check counter information (will be scheduled to direct to less trafficking counters)
  • Notifications according to the flight timings
  • User will fill in belongings he is carrying with him self
  • FAQ section will contain list of banned contents (This can be showed in gamification way with questionnaire)
  • Discount offers section for people who starts using this app at the initial period
Analytics:
This is a heart of this security system which will provide following features:
  • Analyze the passenger movement using tools like iBeakon which uses Bluetooth low energy (BLE) also use tracking using geo information data (tracking using GPS)
  • Analyze the queues with heatmaps and accordingly inform passengers which queues to follow 
  • Identify passengers identity using biometrics with the comparison to earlier stored biometric data
  • Analyzing customers social data available in public domain and raise alerts prior to journey as well as provide product offerings or discounts based on passenger interests.
Cloud:
  •  Cloud will store all the passenger related data, social analytics data, biometrics information data etc
  • This will host a central application which will serve all the mobile clients (Through mobile app) and Airport management through Admin UI interface. 


CONVERSATION

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