Hiwonder WonderMV AI Vision Recognition Module AI Camera Python Development Board CanMV Sensor
【Vision AI, Powerful Computing Power】 Hiwonder WonderMV open source vision module is a powerful and cost-effective Al vision module. It is developed based on the K210 chip and supports 12 AI vision items such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, and tag recognition function.
【Compatible with Various Controllers】 WonderMV vision module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi, Arduino, Micro:bit, etc. Users can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.
Get WonderMV Module Resources: schematics, source code, video tutorials, and experimental cases. https://wiki.hiwonder.com/projects/WonderMV/en/latest/index.html
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.
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.
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 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 |
| 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 |
Shipping & Delivery
1. Free Shipping Policy
Hiwonder offers free standard shipping on orders over US $499 (before tax and duties), delivered via trusted carriers such as DHL, UPS, or FedEx.
Most orders arrive within 6 working days after dispatch. You can check if your country is eligible for free shipping in the regions listed below.
Eligible Regions
- Americas: United States, Canada, Mexico, Chile
- Europe: Germany, United Kingdom, Netherlands, Switzerland, France, Austria, Italy, Belgium, Spain, Sweden, Finland, Norway, Portugal, Czech Republic, Poland, Greece, Slovenia, Romania, Denmark, Bulgaria, Luxembourg, Slovakia, Hungary, Ireland, Estonia, Lithuania
- Asia: China, Japan, Singapore, South Korea, United Arab Emirates, Malaysia, Thailand, Philippines
- Oceania: Australia, New Zealand
If your country or region is not listed above, the shipping cost will be automatically calculated at checkout once you enter your shipping address.
2. Customs & Import Fees
All international shipments are subject to local customs regulations. Import duties, taxes, or other fees may be charged by your country's customs authority upon arrival.
Our shipping term is FOB Shenzhen, which means these fees, if any, are the customer's responsibility. The shipping carriers will assist with the customs clearance process to ensure smooth delivery.
If a package is returned due to unpaid customs duties, any related return or reshipping fees will be deducted from your refund.
3. Order Processing Time
Orders are typically processed within 24 hours after placement and shipped the next business day.
Orders placed on weekends or public holidays will be shipped on the next working day.
Once shipped, you will receive a confirmation email with tracking information.
Questions & Answers
Have a Question?
-
where are the pi drivers? my raspberrry pi 5 does not recognize the camera via usb. does the unit get it's power via usb or do I need another power source?
You can find detailed instructions for connecting the WonderMV module to the Raspberry Pi at the following link: https://drive.google.com/drive/folders/11Zq2uyzxE1eQIGpNt8Zdn0IyzPbnsrMt?usp=sharing
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