Optimize store design by analyzing the number and properties of customers.
It is important for store managers to understand when and who comes in the store in order to optimize the design of a store and efficiently display goods.
Currently, gathering this kind of marketing data requires employees doing pedestrian count or manual input of customer properties in POS registers.
However, manual pedestrian count requires counters, who have limitations on the hours and duration they can work.Likewise, data gathered through manual inputs of properties in POS registers will depend on the employees doing the task, and therefore is not always reliable.
Image Sensing technology can be used here too.Automate pedestrian count and obtain results for specified hours and durations through Face Detection or Human Body Detection.Obtain information about the customers automatically through Gender and Age Estimation to reduce the variation in data collected by employees.
Image Sensing technology will thrive in next-generation marketing research.