© 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_9

9. Summary and Tips on Practical Implementation

Elaine Wu1   and Dmitry Maslov1
(1)
Shenzhen, China
 

In previous chapters, you have learned how the Raspberry Pi brings digital transformation to retail businesses and how to build prototypes to optimize human and machine resource allocation and streamline your business operations. The book’s prototype projects included a vending machine, a smart touchscreen-enabled directory, a speech recognition drive-thorough, an employee-management system, an advertisement display, a people-counting camera, and a cluster server for hosting ...

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