Yahboom Tiny:bit Pro AI Visual Robot Car for BBC micro:bit with K210 Vision Module, MakeCode + MicroPython

Yahboom

$122.60 USD

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BBC Microbit Without With

Version Standard Kit Expansion Kit

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Overview

Tiny:bit Pro AI visual robot car is a BBC micro:bit-based robot car that combines the Yahboom Tiny:bit car platform with a K210 vision module for AI visual recognition, creative expansion, and autopilot-style scene interaction. It integrates multiple onboard sensors (infrared sensor, ultrasonic module, sound sensor) plus a buzzer and RGB lighting effects, enabling functions such as obstacle avoidance, following, and “singing” via MakeCode graphical programming. With the K210 module, it can capture HD images to support machine learning, image recognition, color detection, and target tracking.

Key Features

For BBC micro:bit; compatible with both old and new versions micro:bit board: Micro:bit V2 board (default) and Micro:bit V1 board (compatible with).
Adjustable bracket allows the camera angle on the K210 module to be freely adjusted.
Dual programming workflow: robot car uses MakeCode graphical programming; K210 vision module uses MicroPython.
Basic functions: infrared tracking, ultrasonic obstacle avoidance (distance measurement), buzzer singing, sound detection, RGB lighting effect.
Supports remote control: Android/iOS app remote control; infrared remote control (standard); micro:bit handle remote control (purchased separately).

AI Vision & Recognition Functions

Color recognition
Barcode identify / barcode recognition (micro:bit displays barcode content; searchlight turns green when recognized, red when not recognized)
QR code recognition (recognizes QR code information and performs actions based on the QR code content)
Machine code detection
Machine code following
Object recognition (micro:bit dot matrix can display the corresponding object ID)
Face recognition (micro:bit LED dot matrix displays different face serial numbers and plays different music)
Mask warning (detects whether a face is wearing a mask; buzzer can send out a warning when not wearing a mask)
Road sign recognition
Number recognition / digital identification (recognizes handwritten numbers and triggers preset actions)
Visual inspection line / visual tracking color line
Autonomous learning classification (supports a simple autonomous training classification process by recording 5 pictures)

Configuration Options

Tiny:bit Pro Standard Kit: smaller size, higher energy; supports various AI visual recognition and basic functions.
Tiny:bit Pro Expansion Kit: adds an autopilot map to complete autopilot-style scene operation in combination with the map/props.

Note: If a Micro:bit V2 board is not available, select the configuration that includes a micro:bit board.

Autopilot Map (Expansion Kit) Specifications

Autopilot map size	2 x 1.5 m
Autopilot map mini version material	PVC fabric (UV high-definition printing, waterproof)
Traffic sign stickers	Already pasted on the iron plate
Traffic light model	Manually control light
Road sign iron plate	*6
Road sign display area	7 x 7 cm
Road sign height	18 cm

Tutorials

Yahboom Tiny:bit Pro AI visual robot car tutorials

If product selection or setup assistance is needed, contact customer service at support@rcdrone.top or visit https://rcdrone.top/.

Details

Yahboom Tiny:bit Pro AI Visual Robot with K210 camera module on micro:bit robot car chassis

Meet the Tiny:bit Pro—an AI visual robot car for BBC micro:bit that pairs the Tiny:bit platform with a K210 vision module for interactive projects.

AI vision feature icons for the robot: color, barcode, QR, object, face, road sign, number recognition and more

A wide range of vision demos are supported, from color and QR recognition to object IDs, tracking, and simple training classification.

Yahboom Tiny:bit Pro AI Visual Robot kit box and assembled micro:bit car with K210 vision screen

Works with micro:bit V2 by default and remains compatible with micro:bit V1, making it easy to use in classrooms and clubs.

Standard kit vs expansion kit comparison, including optional autopilot map add-on for scene interactions

Choose the Standard Kit for compact AI demos or the Expansion Kit to add an autopilot-style map experience with props.

Autonomous learning classification demo using the K210 camera to recognize trained objects

Create quick custom recognition tests by recording sample images and letting the vision module classify what it sees.

Color block and machine-code following demo with robot tracking a square marker on the table

Track a color block or marker and program follow behavior for hands-on AI navigation activities.

Visual tracking color line demo with robot car following a yellow tape line from a top view

Combine vision and sensors to follow a color line for reliable route and path experiments.

Object recognition demo detecting a cup while the robot displays recognition feedback on its screen

Object recognition can trigger micro:bit actions—ideal for interactive games, sorting ideas, and STEM challenges.

Road sign recognition demo on an autopilot mat with a speed limit sign target in view

Road sign recognition supports scenario-based learning, where different signs can trigger different robot behaviors.

Mask warning demo interface on the K210 screen with a blurred face for privacy

Optional safety-focused demos include mask detection alerts via the onboard buzzer and display feedback.

Collage of barcode, QR code, face recognition and handwritten number identification demos

Barcode/QR scanning and number recognition expand the robot beyond driving—use codes and digits to launch programmed actions.

Autopilot map kit contents and layout for navigation challenges, including traffic lights and road signs

The autopilot map set adds a structured environment for practicing turns, intersections, parking, and traffic-light logic.

Mobile app remote control and infrared remote control options for driving and lighting effects

Multiple control options are available, including mobile app control and a standard infrared remote.

micro:bit handle controller used for remote driving, sold separately

For hands-on play, a micro:bit handle controller can be added separately to run custom control projects.

MakeCode graphical programming screen alongside the robot car for block-based coding on micro:bit

Program driving, lights, sound, and sensor behaviors in MakeCode, then extend vision features with MicroPython on the K210 module.

Yahboom Tiny:bit Pro AI Visual Robot highlighting K210 vision module, built-in screen and adjustable camera bracket

An adjustable bracket helps aim the camera, while the built-in screen provides live feedback during recognition and tracking.

Hardware features diagram labeling sensors, RGB lights, ultrasonic module, buzzer, motors and battery slot

Onboard components include ultrasonic distance sensing, infrared tracking, RGB lighting, sound detection, and motor drive for rich robot behaviors.

Function collage: creative expansion, sound detection, infrared remote, RGB lighting, line tracking and obstacle avoidance

Beyond AI vision, core robot-car functions cover obstacle avoidance, line tracking, sound reaction, and colorful lighting effects.

Product comparison chart for Yahboom Tiny:bit robot cars, comparing Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro features.

The comparison table outlines differences between Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro robot cars, including sensors, motors, size, and battery life.

Gift information screen for Yahboom Tiny:bit Pro AI visual robot, showing tutorial link and course file folders

Yahboom Tiny:bit Pro includes a tutorial link and organized lesson folders covering setup, AI vision, coding, and manuals.

Screenshot of Yahboom Tiny:bit Pro AI visual robot sample project folders for obstacle avoidance, tracking, and recognition

Tiny:bit Pro includes a library of sample programs covering obstacle avoidance, tracking, and AI vision tasks like barcode/QR recognition and object detection.