Calculating the numbers of shoppers who enter your store or mall throughout the day can help you to improve your operations in a number of ways. It becomes possible, for example, to precisely match the number of staff during busy times to the need, improving service, and then reduce staff during quieter times to save on operating costs.
In these and a number of other ways, counting people in-store helps retailers optimize their strategies and maximize conversion and revenues. However, the task of accurately counting customers over an extended period of time is a difficult one, particularly as legacy camera technologies are not always up to the task.
Hikvision’s People Counting Cameras, equipped with dual-lenses and embedded deep learning algorithms, are extremely accurate – more than sufficient to overcome previous challenges.
-Extremely highly accuracy
Hikvision dual-lens people counting cameras offer extremely high accuracy, with a configuration that provides 3D imaging to distinguish human beings from inanimate objects and shadows.
-Deep learning algorithms
People counting cameras also incorporate deep learning algorithms that can be continuously trained and improved with new datasets to count persons more precisely.
Optimize staffing schedules and operations
Use insights to precisely increase the number of staff during busy times to improve services, and then reduce staff during quieter times to increase your operating efficiency
Evaluate operational costs
Obtain visitor flow statistics at each store, and determine which stores have optimal operating efficiency – thus increasing the evaluation basis for your next rent payment and other expenses.
Measure ROI of marketing activity
Users can develop strategic marketing activities to attract customers by analyzing the data of incoming rates (entering vs. passing by)