People Counter
Computer Vision / Python / OpenCV / YOLO / Numpy

Counters to be used in shopping malls, supermarkets, airports and other areas where people are concentrated are very important to analyse the movements of people. In this way, work can be done to improve customer and visitor experience on the routes.

These counters provide valuable information to businesses and managers by tracking customer flow. For example, it is possible to determine which entrances are used more in a shopping centre, which stores are more crowded in front of which stores, or which time periods have the highest number of visitors. This data helps to make strategic decisions in many areas from store organisation to promotion and campaign planning.

At airports, people counters can be used to reduce congestion at security checkpoints, optimise passenger flow and minimise waiting times. In this way, passengers can have a more comfortable travelling experience. It also provides critical data for emergencies and evacuation plans.

In supermarkets and other retail spaces, understanding customer behaviour and shopping habits is vital to optimise product placements and shelf arrangements. Thanks to people counters, sales strategies can be developed by analysing information such as which products attract more attention and which aisles people spend more time in.

As a result, in all these areas where people are dense, people counters have become an indispensable tool for both increasing the efficiency of businesses and maximising customer and visitor satisfaction. Such technological solutions constitute the basic building blocks of the smart and customer-oriented spaces of the future.

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