HexaAR

AI & Web3

Mountain Dew: Raid — campaign visual
Challenge
Find participating creators across a large live-streaming platform.
Idea
Use visual product recognition to connect streamers with brand support.
Role
Technical Lead
Tech
  • Computer vision
  • Synthetic training data
  • Distributed GPU processing
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Mountain Dew Raid used computer vision to find Mountain Dew products in Twitch broadcasts and invite streamers into a creator support programme. The initiative rewarded brand participation rather than an already-large audience.

UNIT9 describes a custom model trained with synthetic imagery, distributed across 50 GPU virtual machines. The system monitored 10,000 streams concurrently and scanned an average of 400,000 unique streamers daily.

Mountain Dew: Raid — experience view 1
Mountain Dew: Raid — experience view 2
Mountain Dew: Raid — experience view 3
Role
Technical Lead
Studio
UNIT9
Release
2024-01-30
Case study
UNIT9 archive

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