Description
What is Myduino AIoT Computer Vision Kit?
The Myduino AIoT Computer Vision Kit is a complete, hands-on development platform designed to help learners and developers build real AI-powered monitoring systems. This kit integrates OpenCV for image processing, YOLO for real-time object detection, and MQTT for IoT communication, combining AI intelligence with hardware control into a structured.
Throughout this journey, users will transform a camera and a microcontroller into an AI-powered system that can see, process images, detect objects using YOLO, and make intelligent decisions. With OpenCV handling image analysis and MQTT enabling wireless data communication, the system can automatically control physical devices in real time.
From camera input and image processing to AI detection, wireless communication, and hardware automation, learners will experience the full AIoT workflow in a practical, application-driven way — building a complete end-to-end AI system from vision to action.
Myduino AIoT Computer Vision Ki – Raspberry Pi 4B – 2GB
Myduino AIoT Computer Vision Ki – Raspberry Pi 5 – 2GB
What is OpenCV
OpenCV (Open Source Computer Vision Library) is a free and open-source library used for image and video processing. It helps computers understand and analyse visual data from cameras, photos, and videos. With OpenCV, you can detect faces, recognise objects, track movement, read QR codes, and apply image effects like blur or edge detection.
It is commonly used with programming languages like Python and C++, and it is popular in AI, robotics, and smart camera projects. In simple words, OpenCV helps computers “see” and understand the world through images and videos.
What is YOLO
YOLO stands for You Only Look Once. It is a real-time object detection system used in computer vision. YOLO can detect multiple objects in an image or video simultaneously, such as people, cars, animals, or other items.
It is fast and accurate because it looks at the image only once and predicts all object locations and classes in a single step.
This makes it well-suited for real-time applications such as CCTV systems, self-driving cars, robotics, and AI cameras. YOLO is commonly used together with libraries like OpenCV and deep learning frameworks to build smart vision systems.
What is MQTT
MQTT stands for Message Queuing Telemetry Transport. It is a lightweight communication protocol used for sending data between devices over the internet. MQTT is commonly used in IoT (Internet of Things) systems because it is simple, fast, and uses very little bandwidth.
It uses a publish-and-subscribe system. Devices (called clients) send messages to a broker, and other devices can subscribe to receive those messages. A popular MQTT broker example is Mosquitto. MQTT is widely used with devices like ESP32, Raspberry Pi, and other IoT hardware to send sensor data, control devices remotely, and build smart home or industrial monitoring systems.
Suitable For
- Lecturers and educational institutions
- Final Year Project (FYP) students
- Makers and developers
- Beginners entering the AIoT industry
Complete AIoT Workflow
Camera ➜ OpenCV Processing ➜ YOLO Detection ➜ Object Filtering ➜ MQTT Communication ➜ ESP32 ➜ Hardware Output
What’s Included in the Kit
SHIPPING LIST
- Myduino AIoT Computer Vision Kit – Raspberry Pi 5/4B – 2GB
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