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README.md

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## 📚 Pre-requisites
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| Raspberry Pi AI Kit | reComputer R1000 | Raspberry Pi 5 |
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| Raspberry Pi AI Kit | reComputer R1000 | Raspberry Pi 5 Starter Kit |
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| :----------------------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| ![Raspberry Pi AI Kit](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/2/-/2-113060086-raspberry-pi-ai-kit-all.jpg) | ![reComputer R1000](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/1/1/113991314-2_1.jpeg) | ![Raspberry Pi 5](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/1/-/1-102110919-raspberry-pi-5-8gb-45font.jpg) |
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| [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-AI-Kit-p-5900.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) | [**Purchase Now**](https://www.seeedstudio.com/reComputer-R1035-10-p-5925.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) | [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-5-8GB-p-5810.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) |
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| ![Raspberry Pi AI Kit](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/2/-/2-113060086-raspberry-pi-ai-kit-all.jpg) | ![reComputer R1000](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/1/1/113991314-2_1.jpeg) | ![Raspberry Pi 5](pictures/README/pi5_start_kit.png) |
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| [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-AI-Kit-p-5900.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) | [**Purchase Now**](https://www.seeedstudio.com/reComputer-R1035-10-p-5925.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) | [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi5-8GB-Kit-p-6254.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) |
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## 📚 Recommended Reading
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articles/Chapter_6-RaspberryPi_and_AIoT/A_Simple_Project_with_Ollama.md

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# Let's create a project.

articles/Chapter_6-RaspberryPi_and_AIoT/Retrieval-Augmented_Generation_Project.md renamed to articles/Chapter_6-RaspberryPi_and_AIoT/Retrieval_Augmented_Generation_Project.md

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# Smart Retail with reComputerR11 and AI kit
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![](../../pictures/Chapter6/smart_retail.png)
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This project demonstrates how to use the reComputer R11 and AI Kit to enhance your store, making it smarter and more efficient.
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We retrained the YOLOv8n model to detect Coca-Cola, chips, crackers, crisps, milk, and popcorn. The model is deployed on the AI Kit to monitor the inventory of these items on shelves, notifying store staff when restocking is needed. Additionally, we utilized a pre-trained EfficientNet model to detect people in the warehouse. This model, deployed on the CPU in TFLite format, helps prevent theft by identifying unauthorized intrusions.
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Beyond inventory and security, we integrated environmental monitoring using temperature and humidity sensors. A ReSpeaker was added to emit alerts when intrusions are detected, notifying security personnel. Furthermore, we connected fans and lighting through RS485 for convenient operation by staff.
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All data and controls are consolidated into a Node-RED dashboard, providing an intuitive interface for monitoring and managing store operations effectively.
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## First : Set your environment

pictures/Chapter6/smart_retail.png

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pictures/README/pi5_start_kit.png

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