Hack2022 3rd Prize: Difference between revisions

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= Architecture =
= Architecture =
 
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== MMTC Edge (Operator2) <-> Car ==
[[File:hack2022-optare-architecture2.png|800px|center|top|class=img-responsive]]
[[File:hack2022-optare-architecture2.png|800px|center|top|class=img-responsive]]
 
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== Car <-> Operator 1 Network ==
[[File:hack2022-optare-architecture3.png|800px|center|top|class=img-responsive]]
[[File:hack2022-optare-architecture3.png|800px|center|top|class=img-responsive]]
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= Component view =
= Component view =
[[File:hack2022-optare-architecture2.png|800px|center|top|class=img-responsive]]
[[File:hack2022-optare-component-UC1.png|800px|center|top|class=img-responsive]]
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[[File:hack2022-optare-component-UC2.png|800px|center|top|class=img-responsive]]
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= Conclusion =
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[[File:hack2022-optare-outcome.png|800px|center|top|class=img-responsive]]
[[File:hack2022-optare-architecture2.png|800px|center|top|class=img-responsive]]
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* Full details [//mecwiki.etsi.org/images/MEC_Service_Federation_for_Location-aware_IoT_with_DevOps_MEC_Infra_Orchestration_v3.pdf here]
* Full details [//mecwiki.etsi.org/images/MEC_Service_Federation_for_Location-aware_IoT_with_DevOps_MEC_Infra_Orchestration_v3.pdf here]
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Revision as of 10:21, 23 November 2022


3rd Prize Award & Automotive special prize

K.I.T.T Knowledge in the traffic


Team

Team Pedraforca from Optare Solutions

  • Xose Ramon Sousa Vazquez
  • Santiago Rodriguez Garcia
  • Fernando Lamela Nieto
Edge Hackathon 2022 - Automotive Special Prize.jpg

Introduction

  • A connected vehicle (car) that with the support of 5G, MEC and artificial intelligence technologies is able to capture information from the surrounding environment and feed a smart city platform with this information which can predict and adopt several actions for the good of people.


  • The information retrieved by the car and sent to the platform is collected by three different ways:
  • camera: the car is equipped with a camera that sends a video stream to the edge over which is executed an AI inference algorithm to detect several patterns and generate information packages relevant to the smart city platform
  • sensors: the car is equipped with several sensors (temperature, humidity, …) that can create heat maps with this information to the smart city
  • the smart city itself. In regions/areas where the city information sources are isolated (low power, low signal quality, bad coverage due maintenance, weather conditions, etc), the car can act like a link between the information source and the smart city platform, uploading this information in the next available coverage area crossed by the car in its route.
  • Every information contribution to the smart city could be rewarded with points that can be exchanged with tax discounts, for example, guaranteeing the participation of the people establishing missions with a different degree of value. Every connected car can register on the smart city platform and provide several information about the city and people.


Architecture


Hack2022-optare-architecture2.png



Hack2022-optare-architecture3.png



Component view

Hack2022-optare-component-UC1.png


Hack2022-optare-component-UC2.png



Conclusion


Hack2022-optare-outcome.png

Project Videos