Google's Coral AI turns Raspberry Pi into a Supercomputer

Table of Contents

1. Introduction
2. What is Raspberry Pi?
3. Video Object Recognition
4. Coral AI Edge TP
5. Installing the Camera onto Raspberry Pi
6. Connecting the Coral AI and Booting it Up
7. Downloading Packages from Coral.ai
8. Setting up Coral AI
9. Testing Pre-built Models
10. Real-time Video Object Detection
11. Conclusion

Pushing Raspberry Pi to the Limit with Video Object Recognition

Have You ever wondered if your Raspberry Pi can handle one of the most challenging computations in all of computer science? Well, wonder no more! In this article, we will explore the world of video object recognition and push the Raspberry Pi to its absolute limit.

What is Raspberry Pi?

For those who are not familiar, Raspberry Pi is a small, affordable computer that was designed to teach programming to students. It has become increasingly popular among hobbyists and professionals alike due to its versatility and low cost.

Video Object Recognition

Video object recognition is a complex task that involves identifying objects in a video stream. It is used in a variety of applications, including security systems, self-driving cars, and robotics. However, due to the compute resources required, it is typically performed on high-end computers or servers.

Coral AI Edge TP

Enter the Coral AI Edge TP, a piece of hardware designed to run machine learning algorithms and turn a relatively low-power device like a Raspberry Pi into a supercomputer. With the Coral AI, we can now perform video object recognition on a Raspberry Pi.

Installing the Camera onto Raspberry Pi

The first step in our Journey is to install the camera onto the Raspberry Pi. This will allow us to capture video footage that we can use for object recognition.

Connecting the Coral AI and Booting it Up

Next, we need to connect the Coral AI to the Raspberry Pi and boot it up. This is a straightforward process that can be done by following the instructions provided by Coral.ai.

Downloading Packages from Coral.ai

Once the Coral AI is connected, we need to download some packages from Coral.ai. This will allow us to install the necessary software to run the object recognition algorithms.

Setting up Coral AI

Setting up the Coral AI is a simple process that involves selecting Linux and installing some packages. The documentation provided by Coral.ai is robust and easy to follow.

Testing Pre-built Models

Before we dive into real-time video object detection, we need to test some pre-built models to ensure that everything is working correctly. This will give us an idea of the performance we can expect from the Raspberry Pi.

Real-time Video Object Detection

Now, the moment we've all been waiting for: real-time video object detection on a Raspberry Pi! Using the Raspberry Pi camera and the Coral AI, we can now perform object recognition on a live video stream.

Conclusion

In conclusion, the Coral AI Edge TP has opened up a world of possibilities for the Raspberry Pi. With its ability to run machine learning algorithms, we can now perform complex computations like video object recognition on a low-power device. The future looks bright for the Raspberry Pi and machine learning enthusiasts alike.

Highlights

• The Coral AI Edge TP can turn a Raspberry Pi into a supercomputer
• Video object recognition is a complex task that requires high-end computers or servers
• The Raspberry Pi is a versatile and affordable computer that is popular among hobbyists and professionals
• Real-time video object detection is now possible on a Raspberry Pi thanks to the Coral AI
• The future looks bright for the Raspberry Pi and machine learning enthusiasts alike

FAQ

Q: What is video object recognition? A: Video object recognition is the process of identifying objects in a video stream.

Q: What is the Coral AI Edge TP? A: The Coral AI Edge TP is a piece of hardware designed to run machine learning algorithms and turn a low-power device like a Raspberry Pi into a supercomputer.

Q: Can the Raspberry Pi handle video object recognition? A: With the Coral AI Edge TP, the Raspberry Pi can now perform video object recognition.

Q: What are some applications of video object recognition? A: Video object recognition is used in a variety of applications, including security systems, self-driving cars, and robotics.