AI & Computer Vision for Product Placement
A charismatic protagonist recklessly drove a 1970 Dodge Charger, swiftly evading every villain in his path. Those few seconds of Fast & Furious fantastically imprinted a monstrous American muscle car in my head and encouraged me to drive the same brand ever since. As someone who enjoys watching movies, I have often noticed how product placements play a role in advertising.
- Yoseph Kim, Founder
Whether it be a smartphone or pizza product placement, each product was negotiated before the filming of the movie. But, what if products could be replaced after production?
Utilizing Computer Vision to analyze and modify videos post-production, the machine learning Computer Graphic Integration program that we developed replaces product placement in film in post-production, allowing audience-targeted, and therefore more effective, advertising. The 45-million-dollar Heineken beer spot in Skyfall, for instance, could be transformed into an apple juice spot for younger audiences. Using this technology, we strongly believe that film companies are able to generate much more revenue, and the audience can experience more diverse contemporary advertisements. In addition, there will be more opportunities for small businesses to enter the high-end advertising market with great returns on investment. Furthermore, incorporating advertisements into content allows the elimination of all time-consuming ads outside of content such as those that disrupt YouTube videos or movies.
To back up this idea, our founder registered a patent, "Ad matching server and method - Patent #KR1020210069487A" and started a journey to innovate Product Placement in movies.
