Turns public video feeds into the first real time, structured data layer on locations
Placemeter uses public video feeds and computer vision algorithms to create the first ever, real time layer of data about places, streets and neighborhoods.
Using proprietary computer vision algorithms, Placemeter can count the number of people that walk by a billboard or estimate how many people are in a restaurant, at a beach or park, or in a store. Placemeter can even detect speeding cars in a neighborhood. Information like weather and local events are factored in to refine predictions pertaining to these measurements.
Placemeter's founder has a PhD in computer vision and successfully exited his previous company. The cofounder had stints at Gilt Groupe and himself started 2 companies prior to Placemeter.
While some companies are busy building the internet of things, Placemeter is building the first ever internet of places.