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What if you could buy anything straight away, that you liked in a movie? TheTake will let you

There are times when you are watching a movie and your favorite actor or actress is wearing something you loved enough to fall for. Many of you may also have thought to get one for yourself.

In fact there are times when you noticed a location in a movie and wanted to visit the place. Well! that’s actually possible. This company, TheTake started working with its AI based image recognition engine in 2014 that identifies products and locations in a movie and then target the consumer at relevant store to buy those products.

The company instantly raised $2 million after initial launch to roll-out mobile application and further develop the website for consumers to shop anything they like in a movie or in a trailer.

TheTake now seeking Studios as Business Partners

The company is now targeting studios and entertainment sites to collaborate with its machine learning system “as a way to generate revenue from product placements and experiential travel based on set locations.” Some companies including Universal Pictures, Comcast, Bravo, E!, Fandango, Sony Pictures and the Hallmark Channel, are now testing the service as TheTake chief Ty Cooper told in an email to TechCrunch.

“The new product is based on a year’s worth of work that TheTake’s development did to train a proprietary machine learning algorithm to identify images using a different technique than the industry standard,” believes Cooper.

The developers were initially used to manually enter the data and use a third party computer visualization tool to identify images according to pre-defined parameters which were set by the staff.

The company currently has an iOS based mobile app in addition to web application for around half a million consumers to identify and buy stuff online. Their focus will shift to business-to-business version of the service.

“This network has broader use beyond the video world. This can be applied to and natural language processing.” — says Cooper.

TPRO TEAM

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