---
product_id: 524426996
title: "Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking"
brand: "yahboom"
price: "€ 113.23"
currency: EUR
in_stock: true
reviews_count: 5
category: "Yahboom"
url: https://www.desertcart.at/products/524426996-yahboom-k210-vision-sensor-module-for-uno-raspberrypi-ai-smart
store_origin: AT
region: Austria
---

# 1 TOPS AI power 2MP OV2640 camera 2-inch capacitive touchscreen Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking

**Brand:** yahboom
**Price:** € 113.23
**Availability:** ✅ In Stock

## Summary

> 🤖 Unlock AI Vision Mastery — See the Future, Build the Future!

## Quick Answers

- **What is this?** Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking by yahboom
- **How much does it cost?** € 113.23 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/524426996-yahboom-k210-vision-sensor-module-for-uno-raspberrypi-ai-smart)

## Best For

- yahboom enthusiasts

## Why This Product

- Trusted yahboom brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Live Visual Feedback Onboard:** 2-inch touchscreen lets you see, control, and train AI models in real-time.
- • **Plug & Play MicroPython Coding:** Simplify AI development with easy MicroPython and ready-to-use tutorials.
- • **Blazing Fast AI Vision Processing:** Harness 1 TOPS computing power for instant face, QR, and object recognition.
- • **Open-Source Freedom & Flexibility:** Customize and innovate with fully open-source code and rich developer resources.
- • **Seamless Multi-Controller Compatibility:** Effortlessly integrate with Arduino, Raspberry Pi, STM32 & more via serial interface.

## Overview

The Yahboom K210 Vision Sensor Module is a compact, high-performance AI smart camera featuring a 1 TOPS AI chip, 2MP OV2640 camera, and a 2-inch capacitive touchscreen. It supports face, QR code, object, color, and road sign recognition with ultra-fast image processing. Designed for easy AI development, it uses MicroPython and offers broad compatibility with popular controllers like Arduino and Raspberry Pi. Fully open-source, it empowers makers and professionals to rapidly prototype and customize AI vision projects across robotics, smart homes, and industrial automation.

## Description

Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking: desertcart.co.uk: Computers & Accessories

Review: I bought this because it's the first fully self contained module for experimenting with machine vision that I've seen. It works great, the screen is good quality, as is the camera. No problems using it as is, but it also has plenty of IO to interface with expansion boards and various controllers. Programming is in MicroPython so really simple if you already have experience with Python. The training materials provided by Yahboom are always good and help you to learn through examples of functional code for the module. The firmware even has the AI vision algorithm module included so you can get started with AI visual recognition right away. It amazing how this simple module lowers the bar to getting into and learning advanced computer intelligence programming. Highly recommended. I've really been having fun with it.
Review: Das Modul ist erst heute bei mir angekommen, daher basiert meine Einschätzung auf den ersten intensiven Tests zu Hause – und ich bin ehrlich gesagt ziemlich geflasht! Die Verarbeitungsgeschwindigkeit ist wirklich beeindruckend: Mit der 1 TOPS-Rechenpower erkennt das Modul Gesichter, QR-Codes, Farben, Objekte und sogar Verkehrsschilder oder Linien extrem flott und zuverlässig. Ich habe direkt mit dem mitgelieferten MicroPython-Code und CanMV gestartet – die Beispiele laufen out-of-the-box und zeigen, wie präzise die Erkennung funktioniert. Besonders die Line-Tracking-Demo mit ein paar einfachen schwarzen Linien auf weißem Papier war sofort einsatzbereit und reagiert blitzschnell. Das integrierte 2-Zoll-Touch-Display ist ein riesiger Pluspunkt: Man sieht live, was die Kamera sieht, kann Menüs bedienen und sogar die Modelle direkt am Gerät trainieren. Ich habe in unter 10 Minuten ein eigenes kleines Objekterkennungs-Modell mit nur 5–6 Fotos pro Klasse trainiert – das klappt tatsächlich so einfach, wie beschrieben, und spart einem tonnenweise Aufwand. Die Kompatibilität ist top: Über UART/SPI habe ich es problemlos mit einem Arduino und einem Raspberry Pi Pico verbunden. Die seriellen Ausgaben kommen sauber und schnell an, sodass man die Ergebnisse direkt in eigene Skripte einbauen kann. Bluetooth habe ich noch nicht getestet, aber die anderen Schnittstellen laufen einwandfrei. Verpackung und Zubehör sind ebenfalls gut durchdacht: Die 32-GB-TF-Karte ist schon mit den aktuellen Firmwares und Beispielen bestückt, das Micro-USB-Kabel und der verstellbare Ständer sind praktisch und stabil. Nach den ersten Stunden Spielen und Experimentieren: Das ist definitiv eines der besten AI-Vision-Module in dieser Preisklasse für Bastler und Lernende. Macht riesig Spaß und öffnet Türen für coole Robotik- oder Smart-Home-Projekte. Klare Kaufempfehlung!

## Features

- 1Tops computing power, efficient image processing capabilities: The K210 vision module is equipped with an efficient AI chip, a 2 million pixel OV2640 camera, and a built-in 2.0-inch LCD capacitive touch screen. It can process image data at a very fast speed while consuming low power, supporting various application scenarios such as face feature recognition, barcode recognition, object detection, color recognition, and visual line tracking.
- Simplified AI vision development learning: The Smart Vision Sensor uses MicroPython programming, with CanMV as the development environment. According to Yahboom's tutorials, users can skip the complex process of deploying visual algorithms and only need to record 5 images to complete autonomous model training, lowering the learning and use threshold of AI technology.
- Multi-controller compatibility: The K210 vision recognition module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi Pico, Ard-uino, BBC-V2, MSPM0, etc. Users can easily output visual recognition results to an external controller through the serial port, without the need to delve into complex visual algorithms, making it easy to create creative AI projects.Identify multiple colors simultaneously
- Open source code: The program source code of the Smart AI Lens Kit is completely open source, not a closed-source product that can only be used without further development. This enables users to more easily develop and customize their own visual application programs. In addition to powerful AI recognition functions, we also provide rich development materials to facilitate users to learn and develop their own AI projects.
- Diverse application scenarios: The compact K210 vision module can be widely used in electronic competitions, efficient experimental teaching, robot extensions or personal DIY projects, and even widely used in various fields such as smart homes, industrial automation, etc., providing users with more possibilities and innovation space.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0C2D3NQZJ |
| Best Sellers Rank | 156,800 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 3,705 in Single-Board Computers & Accessories |
| Box Contents | 32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line |
| Brand Name | Yahboom |
| Compatible Devices | STM32, Raspberry Pi Pico, Arduino, BBC-V2 |
| Country of Origin | China |
| Customer Reviews | 4.0 4.0 out of 5 stars (16) |
| Manufacturer | Yahboom |
| Model Name | K210 Vision Sensor Module |
| Model Number | K210 Vision Sensor Module |
| Network Connectivity Technology | USB |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 2 |
| RAM Memory Technology | LPDDR4 |
| Total USB Ports | 1 |
| Wireless Compability | Bluetooth |

## Product Details

- **Brand:** Yahboom
- **Connectivity technology:** USB
- **Included components:** 32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line
- **Model name:** K210 Vision Sensor Module
- **Operating system:** Linux

## Images

![Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking - Image 1](https://m.media-amazon.com/images/I/61WlHMHsrvL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by M***N on 15 June 2023*

I bought this because it's the first fully self contained module for experimenting with machine vision that I've seen. It works great, the screen is good quality, as is the camera. No problems using it as is, but it also has plenty of IO to interface with expansion boards and various controllers. Programming is in MicroPython so really simple if you already have experience with Python. The training materials provided by Yahboom are always good and help you to learn through examples of functional code for the module. The firmware even has the AI vision algorithm module included so you can get started with AI visual recognition right away. It amazing how this simple module lowers the bar to getting into and learning advanced computer intelligence programming. Highly recommended. I've really been having fun with it.

### ⭐⭐⭐⭐⭐ Review
*by D***R on 10 March 2026*

Das Modul ist erst heute bei mir angekommen, daher basiert meine Einschätzung auf den ersten intensiven Tests zu Hause – und ich bin ehrlich gesagt ziemlich geflasht! Die Verarbeitungsgeschwindigkeit ist wirklich beeindruckend: Mit der 1 TOPS-Rechenpower erkennt das Modul Gesichter, QR-Codes, Farben, Objekte und sogar Verkehrsschilder oder Linien extrem flott und zuverlässig. Ich habe direkt mit dem mitgelieferten MicroPython-Code und CanMV gestartet – die Beispiele laufen out-of-the-box und zeigen, wie präzise die Erkennung funktioniert. Besonders die Line-Tracking-Demo mit ein paar einfachen schwarzen Linien auf weißem Papier war sofort einsatzbereit und reagiert blitzschnell. Das integrierte 2-Zoll-Touch-Display ist ein riesiger Pluspunkt: Man sieht live, was die Kamera sieht, kann Menüs bedienen und sogar die Modelle direkt am Gerät trainieren. Ich habe in unter 10 Minuten ein eigenes kleines Objekterkennungs-Modell mit nur 5–6 Fotos pro Klasse trainiert – das klappt tatsächlich so einfach, wie beschrieben, und spart einem tonnenweise Aufwand. Die Kompatibilität ist top: Über UART/SPI habe ich es problemlos mit einem Arduino und einem Raspberry Pi Pico verbunden. Die seriellen Ausgaben kommen sauber und schnell an, sodass man die Ergebnisse direkt in eigene Skripte einbauen kann. Bluetooth habe ich noch nicht getestet, aber die anderen Schnittstellen laufen einwandfrei. Verpackung und Zubehör sind ebenfalls gut durchdacht: Die 32-GB-TF-Karte ist schon mit den aktuellen Firmwares und Beispielen bestückt, das Micro-USB-Kabel und der verstellbare Ständer sind praktisch und stabil. Nach den ersten Stunden Spielen und Experimentieren: Das ist definitiv eines der besten AI-Vision-Module in dieser Preisklasse für Bastler und Lernende. Macht riesig Spaß und öffnet Türen für coole Robotik- oder Smart-Home-Projekte. Klare Kaufempfehlung!

### ⭐⭐⭐⭐⭐ Review
*by C***K on 7 June 2025*

I have no complaints. I bought it to test Krux and it performs exactly as I expected and what is promised. Great little unit for a Krux project.

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-05-14*