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Shopping Mall rent calculations calculated using IP CCTV

A new shopping centre in Budapest used Bikal Eyesoft video analytic features to measure footfall and areas, which may not have been obvious, where people congregated.
London , UK. 18th Oct 2012. Bikal Eyesoft was deployed, by one of its partners in Budapest (Pentolt), in a brand new shopping centre. With many shopping centres there are management concerns for health & Safety as the shopping mall is owned by a landlord. The individual shops and stores are just tenants within a building that can house 20 to 200 individual stores. As with traditional established shopping streets, areas and districts (areas which evolved from the markets) there are shops that don’t work due to their own management and business type. However, for some businesses it is down to the rent and rates which are charged. For a new shopping mall that does not have the history, this rent setting is an important factor to maximise profit and maintain occupancy.

Shopping mall designers will attempt to use data from other builds to determine foot flow and strategically based “anchor tenants” will ensure that adjoining premises will command a premium. But this is still not a guarantee that the store will survive. With the progression of the internet for shopping, shopping malls are becoming leisure activities for consumers to experience. Shopping mall operators need to utilise space without compromising the health & safety of visitors.

CCTV with the right logging software can measure this traffic. Features include object counting, crowd congregation, fire & smoke detection, unattended baggage and motion detection. Shopping mall operators as well as the store operators within the mall can then use this data to assess the viability of a business. Essentially, all the calculations and models and theory behind how people move around a shopping mall can never be predicted. There is a always some spot, space or place within the building that for no apparent reason draws a crowd to rest or the youth the hang out. For instance, if there are some steps which are in a quiet location, then this maybe where the mother take prams for the kids to stretch legs or take a nap. This location is the ideal for a shop catering for mothers or kids clothes.

Here the case in point is that visual data is almost secondary (it is really for evidence of an incident) but that visual data when converted into numerical data can create reports. These reports can then be used to assess operations to try to ensure maximum occupancy which enhances the overall consumer experience.