ML Automation for Video Production

As a creative AI Designer and engineer, it is important to understand where best to apply ML technology. Sure there are many new models popping up everyday, but in order to find the optimal use of ML for you organization, you need to embark on a design research journey.

I analyzed many teams and projects across Media.Monks, looking for areas when mature ML models could be applied.

Once those areas were discovered, a UX research deep dive was begun. This included briefing and analysis with key stake holders, user interviews, prototyping, and user testing.

For the initial sprint we prototyped an application for one of our embedded teams which has to create appx 100 ad spots a day. With this much volume, it’s hard to cross every T and Dot every line.

We applied off the shelf CV models to analyze videos and highlight areas of potential fault.

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