We looked at this same problem in a number of ways, but not automated the way this suggests. Note it has yet to be connected to existing cameras or robotics.
Trax raises $125 million to bring computer vision insights to retailers’ shelves
By Paul Sawers @PSAWERS in Venturebeat
Trax, a computer vision platform that gives retailers insights into what’s happening on their store shelves, has raised $125 million in a series E round of funding led by Chinese investment firm Boyu Capital. Somewhat oddly, U.K.-based media publisher DC Thomson also participated in the investment round.
Founded in 2010, Singapore-based Trax helps digitize store aisles through image-capturing technology that serves up data and analytics on consumer packaged goods (CPG) on shelves. It may save employees from manually auditing stock for inventory and product promotions, for example. It can also help retailers make product placement decisions by providing a snapshot of what goods are where, and whether they could be shifted to a better position.
The Trax platform ultimately recreates physical store shelves in digital form to guide product and marketing decisions, and big-name clients such as Coca-Cola and Nestle are already using the platform.
While Trax’s technology currently requires capturing images manually via mobile devices, the company said it’s currently working on several pilot projects to provide continuous shelf-tracking via connected cameras that are mounted on coolers or robots and capture images at pre-set intervals. .... "
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