Hack2022 3rd Prize: Difference between revisions
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= Introduction = | = Introduction = | ||
<p> | <p> | ||
* 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. | |||
[[File:Edge Hackathon 2022 - Automotive Special Prize.jpg|400px|center|top|class=img-responsive]] | |||
* 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. | |||
Team | |||
</p> | |||
= Use Case Description = | = Use Case Description = | ||
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Revision as of 09:54, 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
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. Team