£50.99

Yahboom K210 Vision Sensor - AI Smart Camera for Raspberry Pi

K210 Vision Sensor Module

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Last 48 days • 48 data points (No recent data available)

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£50.99 £39.99 £42.39 £44.79 £47.19 £49.59 £51.99 08 April 2026 19 April 2026 01 May 2026 13 May 2026 25 May 2026

Price Distribution

Price distribution over 48 days • 3 price levels

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Current Price
10 days 5 days 33 days · current 0 8 17 25 33 £41 £45 £51 Days at Price

Price Analysis

Most common price: £51 (33 days, 68.8%)

Price range: £41 - £51

Price levels: 3 different prices over 48 days

Description

Expand your robotics and AI projects with the Yahboom K210 Vision Sensor Module. Designed for developers working with UNO and Raspberry Pi, this smart camera module provides a powerful platform for machine learning and computer vision tasks. Equipped with an efficient AI chip and a 2 million pixel OV2640 camera, the K210 handles image processing with high speed and low power consumption. This module is an ideal tool for learning AI vision development. It features a built-in 2.0-inch LCD capacitive touch screen for real-time interaction and monitoring. Whether you are working on face recognition, object detection, or color tracking, the K210 offers the hardware needed to bring your intelligent projects to life. The system supports MicroPython programming through the CanMV development environment, making it accessible for students and hobbyists looking to master visual programming and sensor integration.

Key Features

High-performance AI processing with 1Tops computing power and an efficient AI chip for fast image data handling.

Integrated 2 million pixel OV2640 camera for high-quality visual input and clear image recognition.

Built-in 2.0-inch LCD capacitive touch screen for easy interaction and real-time visual feedback.

Versatile recognition capabilities including face features, QR codes, object detection, and color recognition.

Supports advanced visual tasks such as road sign recognition, feature detection, and line tracking.

Simplified learning path using MicroPython programming and the CanMV development environment.

Product Specifications

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