Uploaded June 2026 | Updated September 2026, 2 weeks ago
Run real-time YOLO object detection on a Raspberry Pi 4 - no GPU, no Coral TPU, and no expensive AI Hat required. In this step-by-step tutorial, I show you exactly how to set up YOLOv8 on a Raspberry Pi using nothing but the board itself and the basic Camera Module V1 (OV5647).
We go through the full process from a fresh Raspberry Pi OS install all the way to live detection running on your camera feed - including every error we actually hit while building this and how we fixed them. If you have ever tried this and hit a wall, this video is for you.
Try efficient circuit drawing and PCB designing tools by Altium: altium.com/in/yt/rootsaid
WHAT YOU WILL LEARN:
- Installing Ultralytics YOLOv8 on Raspberry Pi OS Bookworm
- Setting up a Python virtual environment the right way
- Fixing the "externally managed environment" pip error
- Fixing the dreaded "Illegal instruction" PyTorch crash on the Pi
- Connecting the Raspberry Pi Camera Module V1 with picamera2
- Boosting FPS so detection actually runs in real time
HARDWARE USED:
- Raspberry Pi 4 (4GB)
- Raspberry Pi Camera Module V1 (OV5647)
- 32GB microSD card
This works great as a base for robotics projects - line-following bots, security cameras, object-triggered automation, and more. YOLOv8 can detect 80 everyday objects out of the box (people, cars, bottles, phones and more) with no custom training needed.
Full written tutorial with every command and fix is on our blog: rootsaid.com/embedded-systems/yolo-raspberry-pi-object-detection
#RaspberryPi #YOLO #ObjectDetection #ComputerVision #yolov8 @AtiumOfficial #altiumstories
Run real-time YOLO object detection on a Raspberry Pi 4 - no GPU, no Coral TPU, and no expensive AI Hat required. In this step-by-step tutorial, I show you exactly how to set up YOLOv8 on a Raspberry Pi using nothing but the board itself and the basic Camera Module V1 (OV5647).
We go through the full process from a fresh Raspberry Pi OS install all the way to live detection running on your camera feed - including every error we actually hit while building this and how we fixed them. If you have ever tried this and hit a wall, this video is for you.
Try efficient circuit drawing and PCB designing tools by Altium: altium.com/in/yt/rootsaid
WHAT YOU WILL LEARN:
- Installing Ultralytics YOLOv8 on Raspberry Pi OS Bookworm
- Setting up a Python virtual environment the right way
- Fixing the "externally managed environment" pip error
- Fixing the dreaded "Illegal instruction" PyTorch crash on the Pi
- Connecting the Raspberry Pi Camera Module V1 with picamera2
- Boosting FPS so detection actually runs in real time
HARDWARE USED:
- Raspberry Pi 4 (4GB)
- Raspberry Pi Camera Module V1 (OV5647)
- 32GB microSD card
This works great as a base for robotics projects - line-following bots, security cameras, object-triggered automation, and more. YOLOv8 can detect 80 everyday objects out of the box (people, cars, bottles, phones and more) with no custom training needed.
Full written tutorial with every command and fix is on our blog: rootsaid.com/embedded-systems/yolo-raspberry-pi-object-detection
#RaspberryPi #YOLO #ObjectDetection #ComputerVision #yolov8 @AtiumOfficial #altiumstories
![Difference between Microcontroller Vs Microprocessor [Explained For Beginners]](https://i.ytimg.com/vi/RxU2WqaHzF0/mqdefault.jpg "Difference between Microcontroller Vs Microprocessor [Explained For Beginners]
What’s the real difference between a microcontroller and a microprocessor? While both are tiny chips that act as the brains of electronic systems, they’re built for entirely different tasks. In simple terms, a microprocessor is designed for powerful, multitasking environments like computers and smartphones, while a microcontroller is built to control specific hardware tasks in devices like robots, appliances, and embedded systems.
Altium365 and PCB Designer Trial - https://www.altium.com/yt/RootSaidRoboticsElectronicsTechnologyEnglish
In this guide, we break it down in a beginner-friendly way using real-life examples and comparisons. You’ll learn what each chip does, how they work, which one is more powerful, and when to use them in your projects.
From controlling a line-following robot to running an operating system, understanding the difference helps you choose the right tool for the job — and avoid costly mistakes.
@AtiumOfficial #altiumstories #arduino #robotics")
![Make a Clone of you IR Remote! How to make Infrared Remote Controller using Arduino [Step by Step]](https://i.ytimg.com/vi/SaljK44_4B0/mqdefault.jpg "Make a Clone of you IR Remote! How to make Infrared Remote Controller using Arduino [Step by Step]
DIY IR Remote Controller using Arduino - In this video, we will create an Arduino IR Remote Control within 5 minutes. Who doesnt like to play around with Arduino? Lets build something useful.
Its cool to make your own PCBs for your DIY Project right? Its Super Easy!
Altium365 and PCB Designer FREE Trial - https://www.altium365.com/yt/rootsaid
FREE PCB Designing Course Altium Student Lab: https://www.altium.com/in/yt/rootsaidroboticselectronicsandtechnology
When you purchase an item like a television or an air conditioner that can be controlled remotely, you will often only receive one remote control with your purchase, right? What about making a duplicate of an infrared remote controller? In this video, I will demonstrate how you can use Arduino to replicate an infrared (IR) remote control by showing you how to make your own.
I will walk you through the entire process of making your very own Arduino IR Remote Controller, from walking you through the circuit to walking you through the programming.
How exactly does an infrared (IR) remote control work?
The signals that are sent from an IR remote, also known as a transmitter, are transmitted to the device that they control through the use of infrared light. It does it by sending out bursts of virtually undetectable infrared light, which correlate to particular binary codes.
These codes reflect commands, such as turning the power on, increasing the volume, or decreasing the channel. The controlled device, which is also known as the receiver, is responsible for converting the infrared light pulses into a binary code that the devices internal CPU can comprehend. The microprocessor will begin carrying out the orders as soon as the signal has been decoded.
Objective
Therefore, in order to construct a clone of a remote controller, the first thing we need to do is find out what is being communicated by the remote when you press a specific button on the remote controller. This will allow us to create a clone of the remote controller. Second, with the help of our apparatus, we will need to press a button in order to re-execute the code.
In order for this to be possible, we are going to construct a simple circuit, read the information from the actual remote controller, and then replay the signals to the device.
Get Complete Codes and Instructions - https://rootsaid.com/ir-remote-arduino-hack/")
