© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
E. Wu, D. MaslovRaspberry Pi Retail Applicationshttps://doi.org/10.1007/978-1-4842-7951-9_2

2. People Counting

Elaine Wu1   and Dmitry Maslov1
(1)
Shenzhen, China
 

Problem Overview

The number of customers that visit a store greatly affects its retail profits, but the traditional ways of assessing customer flow have been prone to error. Computer vision techniques can automate the process of people counting and reporting. The solutions available on the market currently cost at least a few hundred dollars and most often are closed-source, which raises privacy concerns. This chapter analyzes and implements a deep learning-based people counting solution using the ...

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