If you've ever dreamed of diving into the world of neural networks, AI, and machine learning on your Raspberry Pi 5, the newly released Raspberry Pi AI kit is your gateway. Crafted in collaboration with Hyo, this AI kit seamlessly integrates high-performance, power-efficient inferencing into a multitude of exciting applications. This kit features the Hyo 8l AI accelerator module, which delivers impressive performance with 13 tera operations per second (TOPS) and claimed efficiency at three TOPS per watt.
For comparison, the popular Google Coral TPU, widely used with previous-gen Raspberry Pis, offers four TOPS but at a higher power consumption of two TOPS per watt. With the Raspberry Pi AI kit, you get not only a performance boost but also improved energy efficiency, making it a superior choice for edge AI applications.
Introducing the Maker Pi Pico W, an addon board by Satron that enhances digital projects by adding features like a built-in SD card slot for storage, a 3.5 mm audio jack for external speakers, and built-in RGB LEDs.
Today, we're going to create our first Raspberry Pi AI kit project—a human notification system—integrated with the Satron Maker Pi Pico. We will show you how to detect a person and trigger audio and visual notifications using these tools. Let's get started!
First, let’s take a closer look at the components you’ll need for this project:
The system architecture for our human notification system includes:
This script runs the object detection model and monitors the output for any person detections. When a person is detected, it updates a file that the server code monitors.
Key parts:
objects.text
file.The server continuously monitors the object detection results from the camera feed. When a person is detected, it sends a notification to the client code running on the Pico W.
Key parts:
This code connects the Maker Pi Pico W to a Wi-Fi network and communicates with the server. When the server detects a person, the Pico W lights up the RGB LEDs and plays an audio alert stored on the SD card.
Key parts:
For detailed instructions, visit the Satron tutorial page.
Clone the necessary project files:
git clone <repository_url>
Navigate to the folder and configure the client side to communicate with the server:
code.py
into your Raspberry Pi Pico W.python3 server.py
code.py
to initiate the system.Congratulations! You've successfully created a human notification system using the Raspberry Pi AI kit and Satron Maker Pi Pico. This project demonstrates the seamless integration of advanced AI capabilities with enhanced hardware features. Stay tuned for more exciting projects, and happy making!
Q: What is the Hyo 8l AI Accelerator? A: The Hyo 8l AI Accelerator is a high-performance module featured in the Raspberry Pi AI kit, delivering 13 TOPS of performance with a claimed efficiency of 3 TOPS per watt.
Q: How does the Maker Pi Pico W enhance the Raspberry Pi PW? A: The Maker Pi Pico W adds cool features like a built-in SD card slot for storage, a 3.5 mm audio jack for external speakers, and built-in RGB LEDs.
Q: Which object detection model is used in this project? A: The YOLO V6 model is used for real-time object detection in this project.
Q: What programming languages are used for the server and client codes? A: The server code is written in Python, while the client code on the Maker Pi Pico W is written in CircuitPython.
Q: Can I use an NVMe SSD for this project? A: Yes, optionally an NVMe SSD with a USB to M.2 adapter can be used for faster operations.
Q: Where can I find detailed instructions for this project? A: Detailed instructions are available on the Satron tutorial page.
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