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home > Hiwonder WonderMV AI Vision Recognition Module AI Camera Python Development Board CanMV Sensor > Hiwonder WonderMV AI Vision Recognition Module AI Camera Python Development Board CanMV Sensor
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Hiwonder WonderMV AI Vision Recognition Module AI Camera Python Development Board CanMV SensorGet WonderMV Module Resources: schematics, source code, video tutorials, and experimental cases. https: wiki. hiwonder. com projects WonderMV en latest index. html Product Description Hiwonder 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
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Product Description
Hiwonder 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 AI Camera ensures moderate durability. To facilitate a quick start for users, the WonderMV AI vision camera includes open-source code, detailed tutorials, and supports secondary development for AI enthusiasts.
Metal Shell Industrial-Grade Craft
Hiwonder 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 AI vision camera 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 AI 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 AI 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 AI 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

Hiwonder WonderMV vision module can learn and record specific human faces for face 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 AI 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 16GB Memory Card

Featuring a TF card slot, the module comes with a 16GB 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 320x240 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 320x240
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
WonderMV Vision Module Kit Packing List
WonderMV Vision Module + Hinge Bracket Packing List
Specifications

Item Specification
Processor Kendryte K210
Display size 2.0 inch
Chip architecture RISC-V architecture
Development environment CanMV IDE
LED User-defined LED light
Camera 2 magapixel
Fill light Supply light for dim environments, customizable by the user
Power supply 5.0V
TF card slot * 1 TF card can be inserted. 32GB TF card is recommended
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 320x240
Size 58.9* 40.7* 16.2mm

Hiwonder WonderMV AI Vision Recognition Module AI Camera Python Development Board CanMV Sensor

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