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Privacy and Edge Compute at the LF Edge + Akraino Hackathon

November 25th, 2019

Alex Donn

Director, Developer Evangelist

We just wrapped an LF Edge + Akraino hackathon with Nokia, SuSE, Qualcomm, ARM, ETSI MEC, Broadcom, Tencent, and Futurewei in San Diego that was run concurrently with KubeCon.

Developers came out to hack solutions focused on the “smart home” concept. The MobiledgeX API and Micro-MEC solutions were presented to developers to hack on for the event and Ampere and Tencent gave lightning talks. In terms of prizes, the best overall team received $1,000 USD prize and runner-ups teams were in for $500 USD! The esteemed judges were Alex Reznik (ETSI MEC / HPE), Tina Tsou (Akraino / ARM), Jane Shen (Futurewei), and our very own: Rolf Muralt (MobiledgeX).

The winning solution focused on addressing biometric cognition and privacy by running the necessary machine learning algorithms on temporal compute, provided by MobiledgeX platform.

As for the winning teams/concepts, they are as follows: 

  • 1st Place: Team Planet -- Privacy focused facial recognition system that runs on edge compute provided by MobilegeX to protect individual privacy while providing facial recognition capabilities.
  • 2nd Place: Team BlueHat -- Infrastructure-level solution called Smart-city Emergency Express (S.E.E.), which is a traffic control system for smart cities and emergency vehicles. Using S.E.E., traffic lights can actively detect emergency requests to enable automating the light switching (to green) for quicker emergency vehicle response.
  • 3rd Place (tie): Team TrailBlaz3r
  • 3rd Place (tie): Team Grind -- An air quality analytics system. They developed a comparative model between Los Angeles and San Diego to explore possibility of location-specific alert generation system for air quality standards.