Hiwonder WonderCam AI Vision Camera Robot Vision Module
WonderCam is a user-friendly AI vision module with eight built-in functions, which makes learning AI fun and easy to comprehend. With 1-click Training feature, it can readily program many creative AI vision projects. WonderCam IIC connector works seamlessly with many global leading controllers like micro:bit, Arduino, Raspberry Pi etc.
> Built-in high-definition screen
> Dedicated AI Chip Faster Response
> Compatible with Lego blocks
> Available for Hiwonder Microbot robot car
![]() HD Vision CameraThe WonderCam vision module is equipped with a 200W pixel camera with high-definition images and better color display. |
![]() Fill Light and Metal Protective HousingThe WonderCam vision module adopts industrial-grade production technology and supports the installation of a metal protective shell. The module also has 5 bright fill lights on board, which can be turned on with one click in dark light environments. |
![]() Support Firmware UpdateThe WonderCam vision module has a built-in USB interface, which can be connected to a computer for firmware upgrade to improve module performance. |
![]() Holes Compatible with LegoThe WonderCam vision module reserves two holes that are compatible with Lego, so users can build more creative projects with Lego. |
AI Vision Recognition
![]() Color RecognitionRecognize colors and frame the identified colors on its display. Providing data information on the image position, size etc. User can program color detected, tracking of color etc. |
![]() Facial RecognitionWonderCam detects face and identifies if it matches according to conditions and image on its display. The controller performs facial detection, recognition, tracking etc program from the image presented, position and size. |
![]() Object RecognitionIn the item recognition mode, the WonderCam vision module can select and display the corresponding item name on the display screen. Through the IIC interface, external control devices can obtain parameters such as the position and size of items in the screen.
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![]() Tag RecognitionDetects AprilTag and display the image in frame. Through 12C connection, the connected external controller can compute the precise 3D position, orientation and identity of the tags relative to the camera.
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Built-in Operation Interface, One-click Training and Learning
WonderCam is pretty easy-to-use AI vision module. It has the built-in machine learning technology that enables WonderCam to recognize faces and objects. Moreover, by long pressing the learning button, WonderCam can continually learn new things even from different angles and in various ranges. The more it learns, the more accurate it is.
Feature Learning - Feature learning captures the distinctive features of an image, allowing for a comparison of similarity between the current image captured by the camera and the recorded picture. This enables a quick assessment of whether two images are identical, facilitating the detection of subtle changes within the image and achieving basic classification.
Image Classification - The trained MobileNet model can be employed for image classification, categorizing images based on their features. The WonderCam vision module seamlessly integrates with the waste sorting models of 12 waste categories included in the kit. This integration facilitates straightforward access to image detection and waste sorting capabilities.
One-click Training and Learning - The WonderCam vision module does not require complicated training processes and algorithms. It has its operation interface and can complete AI training with one click.
Vision Line Following - The WonderCam vision module can identify the direction of color lines in the picture. Through the IIC interface, the external control device can obtain the position and direction of the lines in the picture to realize vision line tracking.
Compatible with Multiple Controllers - Through the IIC port, WonderCam can connect popular main control boards like Arduino, micro:bit, Raspberry Pi, STM32, and ESP32 to help you make very creative projects without playing with complex algorithms.
Compatible with Multiple Programming - It provides API interfaces and official SDK and provides more than 100 project routines and source codes for Raspberry Pi, STM32, ESP32, micro:bit, 51 microcontrollers, Ardunio, etc., so you can develop creative projects by yourself.
Application Scenarios
WonderCam Vision Module Front Diagram
WonderCam Vision Module Back Diagram
WonderCam Vision Module
SPECIFICATIONS
Item | Specification |
---|---|
Processor | Kendryte K210 |
Camera | 2 megapixel |
Supply Voltage | 5.0V |
Working Current | 300mA (Typical: facial recognition, 100% backlight, fill light off) |
Connectors | I2C |
Display | 2.0" IPS, resolution 320×240 |
Built-in Functions | Color recognition, face recognition, tag recognition, vision line following, number recognition, road sign recognition, image classification, feature learning |
Dimension | 52mm × 50mm |
Display Dimension | 41mm × 31mm |
WonderCam Vision Module Packing List
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Discussion Forum
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