Name: WonderMV Vision Recognition Module AI Intelligent Camera Python Development Board CanMV Sensor
SKU: H6919964590167
Price: 55.99 USD
Availability: InStock

Description

Product Description

WonderMV is an open-source AI vision module providing robust functionality and high cost-effectiveness. This module is built on the K210 chip, boasting features such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, tag recognition, QR code recognition, feature detection, number recognition, barcode recognition, and more. Encased in a metal shell, WonderMV ensures moderate durability. To facilitate a quick start for users, the WonderMV vision module includes open-source code, detailed tutorials, and supports secondary development for AI enthusiasts.

Metal Shell Industrial-Grade Craft

WonderMV module features industrial-grade craft technology and is enclosed in an anodized metal shell, providing an exquisite appearance and advanced heat resistance.

Dual Communication Ports

WonderMV vision module integrates a serial port and an I2C port, allowing for easy connectivity with various sensors to expand functionality.

200W HD Camera

Equipped with a built-in 200W HD high-transparency vision camera, the module supports color recognition, road sign recognition, vision line following, and various AI functions.

LEGO-Compatible Holes

WonderMV module includes holes for adding LEGO components, enabling the creation of more engaging AI games.

Artificial Intelligence, Powerful Computing Power

Kendryte K210 is a system-on-chip that integrates machine vision and machine hearing capabilities. It uses TSMC’s ultra-low-power 28nm advanced process, has a dual-core 64-bit processor, has a total computing power of up to 1TOPS, has a variety of built-in hardware acceleration units (KPU, FPU, FFT, etc.), and has good power consumption performance. Stability and reliability.

Powerful Number & Code Recognition Capability

AprilTag Recognition

WonderMV vision module can identify AprilTags on the screen, obtaining position data for each AprilTag and 3D conversion data for accurate positioning.

Barcode Recognition

Capable of recognizing the barcode, WonderMV vision module frames QR codes and retrieves barcode data. Data can be transmitted to external devices using the serial port.

QR Code Recognition

WonderMV vision module excels in recognizing QR codes on the screen and framing them. Through serial communication, external devices can acquire QR code data.

Handwritten Number Recognition

WonderMV vision module recognizes handwritten numbers on the screen, and displays the corresponding number in the upper left corner.

Abundant Face Function

Face Detection

WonderMV vision module swiftly identifies the presence of a human face on the screen. Upon successful detection, the module outlines the human face on the screen, providing the position information. The external control device can access this information through serial communication.

Face Feature Detection

WonderMV vision module not only detects human faces but also marks key facial features such as the eyes, nose, and mouth using star symbols. This detailed information about the human face is accessible to external control devices through the serial port.

Mask Identification

WonderMV vision module is equipped to determine whether a person is wearing a mask. It outlines the human face on the screen and displays the result of mask identification. Through serial communication, the external control device can obtain information about individuals wearing masks.

Face Recognition

WonderMV vision module can learn and record specific human faces for recognition purposes. It can distinguish whether the detected human face matches the learned faces and, if successful, frames the face on the screen and displays the person’s name. External control devices can obtain relevant data through serial communication.

Engaging Color Recognition Activities

Color Recognition

WonderMV vision module can accurately identify the colors of objects on the screen and outline them. Through serial communication, the external control device can retrieve detailed information about the position and size of blocks in various colors.

Autonomous Driving (Vision Line Following)

WonderMV vision module recognizes colored lines on the screen and frames them. Utilizing the serial port, the external device can acquire data such as the offset, angle, and direction of the line on the screen, enabling smooth vision line following.

Support Bracket Expansion

CanMV Development Environment

Programming with MicroPython

Product Features

1TOPS High-Performance
Computing Chip

Built on the Kendryte K210 AI chip, this module features a 64-bit RISC-V kernel processor and a 1TOPS high-performance computing chip. It ensures stable and smooth neural network operations, supporting AI image recognition, and handling complex computing tasks with efficiency.

Built-in LCD Capacitive Touch Screen

Featuring a 2.0-inch LCD capacitive screen with a clear display resolution of 320*240, the vision module facilitates swift debugging and control.

Support Real-time Firmware Upgrade

WonderMV vision module is equipped with a USB port, enabling users to connect it to a computer via a MicroUSB cable for swift firmware updates, facilitating easy downloading and debugging.

Provide 32GB Memory Card

Featuring a TF card slot, the module comes with a 32GB SD card for convenient storage of data and model files, streamlining the AI visual workflow.

Onboard Fill Light and
Customizable Keys

The module has a fill light for operation in dark environments. Additionally, customizable programmable keys meet individual preferences.

Compact and Elegant Design

With its compact size, WonderMV vision module can be easily installed on a controller using the corresponding bracket, allowing users to undertake a variety of AI creative projects.

WonderMV Vision Module Dimensions

Adjustable Hinge Bracket Dimensions

WonderMV Vision Module Parameter
Processor	Kendryte K210	Display size	2.0 inch
Chip architecture	RISC-V architecture	Built-in function	Micropython firmware
Development environment	CanMV IDE	LED	User-defined LED light
TF card slot * 1	TF card can be inserted. 32GB TF card is recommend-ed	Fill light	Supply light for dim environ-ments, customiz-able by the user
Power supply	5.0V	Camera	2 magapixel
Working current	about 300mA	Key * 2	Costume function key
Interface	Type-C, UART, IIC	Size	58.9* 40.7* 16.2mm
Display	LCD capacitive touch screen with a resolution of 320×240	Weight	43g

K210 Chip Basic Parameter
Core	RISC-V Dual Core 64bit, with FPU	Voice recognition	Voice recognition
Main frequency	400MHz (can be boosted to 600MHz)	Chip Manufacturing Process	TSMC’s advanced
AI Vision	Equipped with KPU, supports convolutional neural network calculations, and more	Network models	Supports YOLOv3/ Mobilenetv2/ TinyYOLOv2, face recognition, and others
Core instruction set	RISC-V, a simplified instruction set	Deep learning frameworks	Compatible with TensorFlow/ Keras/ Darknet/ Caffe, among other mainstream frameworks
Image recognition	QVGA@60fps/ VGA@30fps	Peripheral interfaces	GPIO, FPIOA, UART, TIMER, SPI, I2C, I2S
SRAM	Built-in 8 megabytes	Operating temperature	-30～C to 85～C
Safety	Supports firmware encryption, AES, and SHA256 encryption algorithms	Operating voltage	Dual voltage support at 3.3V/ 1.8V, eliminating the need for level shifting

WonderMV Vision Module Parameter
Processor	Kendryte K210
Display size	2.0 inch
Chip architecture	RISC-V architecture
Built-in function	Micropython firmware
Development environment	CanMV IDE
LED	User-defined LED light
Camera	2 magapixel
Fill light	Supply light for dim environ-ments, customiz-able by the user
Power supply	5.0V
TF card slot * 1	TF card can be inserted. 32GB TF card is recommend-ed
Working current	about 300mA
Key * 2	Costume function key
Interface	Type-C, UART, IIC
Size	58.9* 40.7* 16.2mm
Display	LCD capacitive touch screen with a resolution of 320×240
Weight	43g

K210 Chip Basic Parameter
Core	RISC-V Dual Core 64bit, with FPU
Voice recognition	Voice recognition
Main frequency	400MHz (can be boosted to 600MHz)
AI Vision	Equipped with KPU, supports convolutional neural network calculations, and more
Chip Manufacturing Process	TSMC’s advanced
Network models	Supports YOLOv3/ Mobilenetv2/ TinyYOLOv2, face recognition, and others
Core instruction set	RISC-V, a simplified instruction set
Deep learning frameworks	Compatible with TensorFlow/ Keras/ Darknet/ Caffe, among other mainstream frameworks
Safety	Supports firmware encryption, AES, and SHA256 encryption algorithms
Peripheral interfaces	GPIO, FPIOA, UART, TIMER, SPI, I2C, I2S
SRAM	Built-in 8 megabytes
Operating temperature	-30～C to 85～C
Image recognition	QVGA@60fps/ VGA@30fps
Operating voltage	Dual voltage support at 3.3V/ 1.8V, eliminating the need for level shifting