🔗 *The full guide* : _ In this video, we will be setting up and using *YOLO pose estimation* with the Raspberry Pi *AI HAT*, as well as exploring how to use it alongside your own *Python code* so you can use pose estimation in your projects. We will be taking a look at how to install the required *hardware and firmware* as well as how to set up and use the pose estimation *pipelines*. The result of this guide will have you equipped with an understanding of this whole setup, as well as three different example scripts we have prepared. With these demo scripts, we will be using *gestures to control* media players, controlling servos with the angles of our arms, and playing a game of *Fruit Ninja* with our bodies. 🔧🔨🧰 Hardware featured in this guide: *13 TOPS AI HAT+:* _ *26 TOPS AI HAT+:* _ *Raspberry Pi 5:* _ #category_1392_ 💡❓ If you have any questions about this content or want to share a project you're working on head over to our *maker forum:* _ 0:00 What we are doing 0:27 What you will need 1:13 Hardware assembly 1:50 Installing firmware and software 4:13 Running a quick demo 6:25 Taking a look at the base example code 10:18 Changing camera resolution 11:47 Example code 2: gesture controls 14:13 Example code 3: controlling servos 15:40 Example code 4: Pose Ninja 16:46 Wrap Up 🌏🦘 *Core Electronics* is located in the heart of Newcastle, Australia. We're powered by makers, for makers. Drop by if you are looking for: • *Raspberry Pi* _ • *Arduino* _ • *Sparkfun* _ • *Adafruit* _ • *Pololu* _ • *DFRobot* _ The following trademarks are owned by *Core Electronics Pty Ltd:* "Core Electronics" and the Core Electronics logo "Makerverse" and the Makerverse logo "PiicoDev" and the PiicoDev logo "GlowBit" and the GlowBit logo