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Ample Vision Interaction
The AiNova is equipped with an AI vision module featuring a user-friendly interface, making it ideal for beginners. With AiNova, users can easily implement vision recognition, intelligent navigation, smart tracking, interactive AI, and other advanced functions.

High-Performance Hardware Configuration
The AiNova robot is equipped with a high-performance ESP32 controller, encoder racing motors, a 4-channel line follower, and a glowy ultrasonic sensor, all of which enhance AiNova's capabilities and performance.

Multi-Scenario Expansion
When combined with autonomous driving accessories and AI transport tools, AiNova makes your artificial intelligence learning experience more engaging and dynamic!
Vision Line Following with
WonderCam Al Vision Module
AiNova can retrieve the position, offset, angle and other data of lines
within the screen to realize smooth vision line following.
Following with 4-channel
Line Follower
With the high quality 4 way infrared probes, the module can detect
the black line of large-angle turns in advance to finish line following.

Scratch3.0: Graphical Programming
Scratch is an intuitive and easy-to-learn programming language. Users can program the robot by dragging and dropping code blocks effortlessly.

Python Programming
Scratch is an intuitive and easy-to-learn programming language. Users can program the robot by dragging and dropping code blocks effortlessly.

Arduino Programming
Fully Arduino-compatible hardware interface with open-source code and detailed comments to make learning and development easy.

Encoder Motor
AiNova is equipped with a DC deceleration encoded motor, which can detect the direction and speed of motor rotation, making it suitable for smart cars.

Metal Protective Shell
WonderCam vision module supports the installation of a metal protective shell to protect the vision module. The shell has mounting holes, which does not affect the assembly and use of the module.

Path Planning
With 2 high-precision encoder motors, AiNova detects the motor speed in real time for path planning.


| Product size | 172*140*146mm |
| Product weight | About 0.5kg |
| Main control hardware | CoreX controller |
| CPU | ESP32 |
| Camera | WonderCam Al Vision Module |
| Motor | DC geared encoded motor |
| Material | Metal bracket |
| Wheel material | Silicone tyre |
| Power supply | 1200mAh 18650 lithium battery |
| Supply voltage | 6~8.4V |
| Programming software | WonderCode (Scratch, Micropython) + iOS/Android mobile app |
| Control method | Computer/mobile phone APP control |
| APP | WonderCom |
| Luminous ultrasonic detection distance2cm-400cm | |
| Processor | Kendryte K210 |
| Camera | 2 megapixel |
| Supply voltage | 5.0V |
| Working current | 300mA (Typical working condition: facial recognition,100% backlight, fill light off) |
| Connectors | I2C |
| Display | 2.0IPS, resolution 320x240 |
| Built-in function | Facial recognition, image classification, feature learning, color recognition, vision line following, tag recognition, number recognition. |
| Dimension | 52mmx50mm |
| Display dimension | 41mmx31mm |
| Item | Specification |
| Product size | 172*140*146mm |
| Product weight | About 0.5kg |
| Main control hardware | CoreX controller |
| CPU | ESP32 |
| Camera | WonderCam Al Vision Module |
| Motor | DC geared encoded motor |
| Material | Metal bracket |
| Wheel material | Silicone tyre |
| Power supply | 1200mAh 18650 lithium battery |
| Programming software | WonderCode (Scratch, Micropython) + iOS/Android mobile app |
| APP | WonderCom |
| Luminous ultrasonic detection distance | 2cm-400cm |
Ships within 48 hours · Estimated delivery Jul 28 - Aug 2
US$40
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