Yahboom K210 Vision Recognition Module (1TOPS) with OV2640 2MP Camera & 2.0in Touch LCD, UART

Yahboom

$56.99 USD

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Version Module without TF card Module with TF card Module+Fixed bracket Module+Angle adjustable bracket Module+Advanced bracket Module+2DOF Electric Platform+Control board

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Overview

The Yahboom K210 Vision Recognition Module is an AI vision recognition module for embedded image processing and local visual inference. It is based on the Kendryte K210 (dual-core 64-bit RISC-V) with about 1TOPS equivalent computing power, and integrates a serial port interface for connecting to controllers such as STM32, Raspberry Pi Pico, Arduino, Micro:bit, MSPM0, and PC.

Hardware resources include a 2MP camera (OV2640), a built-in 2.0-inch LCD capacitive touch screen (320*240), programmable RGB lights, buttons, and an onboard TF card slot (TF card optional) for storing data and model files. It supports open-source MicroPython code, one-click training, and custom model training/export in kmodel format.

Key Features

Kendryte K210 AI chip: dual-core 64-bit RISC-V; about 1TOPS equivalent computing power; built-in hardware acceleration units (KPU/FPU/FFT)
2MP HD camera (OV2640) for AI visual recognition tasks
2.0-inch LCD capacitive touch screen, 320*240 resolution
Serial communication: transmit recognition results/data to external controllers via serial port
AI visual functions shown: QR code recognition, barcode recognition, AprilTag recognition, handwritten digit recognition, license plate recognition
Human-related functions shown: face detection, facial feature detection, mask recognition, face recognition, human body recognition, palm recognition (face in demos is blurred)
Autonomous learning: object recognition, self-learning classification, self-training model (cloud training platform support shown)
Color recognition: multiple-colors recognition; visual line tracking for line patrol scenarios
TF card support (package options shown: with or without TF card; poor-quality TF cards may be incompatible)
MicroUSB data connection shown for real-time firmware upgrade
Mounting support: fixed holes; compatible with Lego brick holes; optional mounting brackets and 2DOF Electric PTZ accessory shown

Specifications

Chip	Kendryte K210
Process	TSMC 28nm
CPU	Dual-core 64-bit RISC-V
Equivalent computing power	About 1TOPS
Main frequency	Maximum 400MHz
Camera	2MP HD camera, OV2640
Display	2.0-inch LCD capacitive touch screen
Display resolution	320*240
Recognition frame rate	QVGA@60fps; VGA@30fps
On board interface	Serial port interface
Network connection	Not support
Model training	Support
AI visual recognition cases	16 AI visual recognition cases
Power consumption / working current	0.8W / 0.16A
Size	57.341.217.4mm
Storage	On board TF card slot; optional TF card for storing data and model files

What's Included

K210 vision module
Package options shown: Without TF card (users prepare TF card and card reader) or With TF card (shipping list includes a TF card + card reader)

Applications

Embedded AI vision projects and intelligent hardware prototypes
Robots and smart cars requiring serial output of detection/recognition results
Color line tracking and color block recognition scenarios
Optional mounting use: fixed bracket, angle adjustable bracket, heightened angle adjustable bracket (1.2-9.5cm), and 2DOF Electric PTZ applications shown

For product selection advice, integration support, or after-sales help, contact https://rcdrone.top/ or email support@rcdrone.top.

Tutorials

Yahboom K210 Visual Recognition Module Tutorials

Details

Yahboom K210 vision recognition module with 2MP OV2640 camera and 2.0in touch LCD, UART interface

Bring edge AI vision to embedded projects with a Kendryte K210 module that combines a 2MP camera, 2.0-inch touch display, and UART output.

K210 visual recognition module, front and rear views with integrated touch screen and camera

The compact board integrates the camera, touch LCD, and onboard controls for quick prototyping and demos.

Package options comparison with or without TF card, plus optional mounting brackets and 2DOF pan-tilt kit

Choose a package with or without a TF card, and add brackets or a 2DOF pan-tilt accessory for robotics and fixed installs.

Kendryte K210 AI computing overview with module photo and computing-power comparison chart

Kendryte K210 delivers fast local inference for vision tasks using built-in acceleration (KPU/FPU/FFT) while keeping power low.

Hot-selling vision module recommendation banner text

K230 vs K210 feature comparison table highlighting display, AI cases, interfaces, and power consumption

A quick comparison helps choose between K210 and higher-performance options based on interfaces, display size, and supported use cases.

K210 module specifications table showing 2.0in touch LCD, OV2640 camera, UART, and QVGA/VGA frame rates

ESP32-S3 WiFi camera module comparison table for alternative vision and connectivity needs

AI visual recognition examples on the touch LCD: QR code, barcode, AprilTag, handwritten digit, and license plate recognition

Built-in demos cover common machine-vision tasks like QR/barcode scanning, AprilTag detection, and character recognition.

Human recognition demos on LCD: face detection, facial features, mask detection, face recognition, body and palm recognition (face blurred)

Human-related demos include detection and tracking features, with results delivered over the serial port to an external controller.

Autonomous learning and object recognition workflows, plus color recognition and visual line tracking examples

Use autonomous learning for custom objects, then extend projects with multi-color recognition and line-following capabilities.

Custom model training flowchart for creating and exporting kmodel files using an online training platform

A guided workflow supports one-click training and exporting models in kmodel format for deployment on the module.

Self-training classification demo and touch-screen GUI examples including buttons, sliders, and chart display

The capacitive touch LCD supports interactive UIs, enabling on-device controls, status views, and simple dashboards.

Hardware feature grid listing touch LCD, 2MP camera, TF card slot, RGB lights, buttons, MicroUSB upgrade, and mounting holes

Key hardware features include RGB LEDs, buttons, MicroUSB firmware upgrade, TF card storage, and mounting holes compatible with Lego-style builds.

Controller compatibility collage: Micro:bit, Raspberry Pi Pico, Arduino Uno, STM32, and other development boards

Connect to popular controllers such as STM32, Raspberry Pi Pico, Arduino, and Micro:bit to send recognition results via UART.

MicroPython programming and CanMV development environment screenshots for K210 vision module

Application cases collage: color following, QR control car, label tracking, autonomous driving, recognition/tracking, mask recognition, road

Example projects range from QR-controlled cars and label tracking to road-sign recognition and autonomous driving experiments.

Hardware distribution diagram labeling camera, TF slot, buttons, RGB LEDs, MicroUSB, UART header, and 2.0in touch screen back view

A labeled board map makes it easy to locate the camera, TF slot, MicroUSB, buttons, RGB LEDs, and the external serial port header.

Laptop screen showing Yahboom K210 AI camera tutorial page with sections on MaixPy, LCD, camera, and UART

Yahboom provides an online tutorial guide for the K210 AI camera module covering MaixPy setup, LCD and camera use, and UART communication.

Folder list of Yahboom K210 vision module tutorial documents and MicroPython source code for experiment modules

The Yahboom K210 vision module comes with organized tutorial documents and MicroPython example code covering basic, AI vision, and communication modules.

Course learning route graphic for K210 development: chip intro, environment setup, cases, GUI, AI vision, applications.

The K210 course learning route covers chip basics, development environment setup, experimental cases, GUI operation, AI vision use cases, and expanded applications.

Dimension diagram of Yahboom K210 vision module with fixed and angle-adjustable bracket measurements in mm

The Yahboom K210 vision module and its mounting brackets are provided with detailed millimeter dimensions to help plan installation and fit.

Dimension drawing of angle-adjustable bracket and 20DF electric platform with top, front, and side views

Angle-adjustable bracket and 20DF electric platform dimensions help plan mounting hole spacing and overall fit during installation.

K210 chip product parameters chart listing 400MHz clock, 8MB SRAM, 28nm process, and UART/SPI/I2C peripherals

K210 chip parameters list key details like 400MHz (up to 600MHz) clock speed, 8MB SRAM, 28nm process, and common interfaces including UART, SPI, and I2C.

Shipping list for Yahboom K210 vision recognition module kit with USB cable, TF card options, card reader and bracket

The K210 vision recognition module kit includes the board, micro USB cable, connection leads, and optional TF card, card reader, and mounting bracket depending on the package.

Yahboom K210 vision recognition module kit contents with adjustable brackets, cables, TF card, reader, and PTZ options

The K210 vision recognition module kit includes the main module plus wiring cables, TF card and reader, and bracket or PTZ mounting options for setup.