MEC Hackathon 2021 Edge Computing World: Difference between revisions
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<p>ETSI is pleased to be the official partner of THE EDGE COMPUTING WORLD who hosted this annual Hackathon on 12-14 October 2021. The Hackathon was held virtual over the summer. Edge Computing World was hosting the Hackathon information portal and was the venue for final pitches and judging of the Hackathon entries during the Edge Developers Conference on 12 October 2021. </p> | <p>ETSI is pleased to be the official partner of THE EDGE COMPUTING WORLD who hosted this annual Hackathon on 12-14 October 2021. The Hackathon was held virtual over the summer. Edge Computing World was hosting the Hackathon information portal and was the venue for final pitches and judging of the Hackathon entries during the Edge Developers Conference on 12 October 2021. </p> | ||
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<p>This year’s challenge was “What innovative Edge Application or Service can you imagine using MEC Service APIs?” Contestants will be asked to bring that app or service to life with the ETSI MEC Sandbox. Teams are encouraged to be creative in selecting an application vertical to focus on for their submission, include:Automotive, Drones, AR/VR, media, and entertainment & Smart Cities.</p> | <p>This year’s challenge was “What innovative Edge Application or Service can you imagine using MEC Service APIs?” Contestants will be asked to bring that app or service to life with the ETSI MEC Sandbox. Teams are encouraged to be creative in selecting an application vertical to focus on for their submission, include:Automotive, Drones, AR/VR, media, and entertainment & Smart Cities.</p> | ||
Revision as of 16:23, 3 December 2021
Organization
Details
ETSI is pleased to be the official partner of THE EDGE COMPUTING WORLD who hosted this annual Hackathon on 12-14 October 2021. The Hackathon was held virtual over the summer. Edge Computing World was hosting the Hackathon information portal and was the venue for final pitches and judging of the Hackathon entries during the Edge Developers Conference on 12 October 2021.
This year’s challenge was “What innovative Edge Application or Service can you imagine using MEC Service APIs?” Contestants will be asked to bring that app or service to life with the ETSI MEC Sandbox. Teams are encouraged to be creative in selecting an application vertical to focus on for their submission, include:Automotive, Drones, AR/VR, media, and entertainment & Smart Cities.
Supporting organizations
Hackathon phases:
- Submissions Due: 28 July 2021
- Teams Notified: 6 August 2021
- Hackathon: 9 Aug -- 1 Oct 2021
- Winners: 12 October 2021 (Edge Developers Conference)
Jury members
Technical challenge
Teams were provided with a dedicated instance of the ETSI MEC Sandbox for their work over the duration of the Hackathon. The MEC Sandbox is an online environment where developers access and interact with live ETSI MEC Service APIs in an emulated edge network set in Monaco, which includes 4G, 5G, and WiFi configurations.
The MEC Sandbox offers edge contextual information via the following ETSI MEC Service APIs:
- Location (MEC013)
- Radio Network Information (MEC012)
- WLAN Access Information (MEC028)
Awards
Prizegiving day
Winner team
The MEC Hackathon 2021 winner (The “A Team”, composed by personnel from Optare Solutions) developed a solution called “Follow Mec”, consisting in a surveillance drone application.
Outside the hackathon, Optare Solutions helps Telecoms to streamline their OSS and BSS Systems. More than 11 years of experience and a specialized team makes them the go-to choice for many to fulfill their system integration demands.
- Post-event Press release :[here]
Awarded project
The A Team introduced an innovative, quick, and flexible deployment of an aerial camera drone. It showcased a MEC application for surveillance activities (tracking pedestrians, wildlife control, crowd control).
The application used the resources of the MEC to execute AI algorithms and adapts its behavior in real time to the different conditions of coverage, signal quality, and power.
ETSI MEC APIs allow for cheaper hardware, a reduced weight of the drone, increasing its autonomy and balance and offers a flexible suite of AI assets leading to optimized costs.
