Module/Sensor

【One-Click Intelligent Calibration】 Automatically adapt to different track lines and maps and shorten preparation and development time for projects.

【Multi-Interface Communication】 Equipped with multiple communication interfaces, compatible with most controllers.

【Dual Digital & Analog Output】 Capture and process sensor data in real-time, providing both digital and analog outputs to suit a wide range of applications.

【Industrial-Grade Infrared Sensors】 Features an 8-channel high-sensitivity infrared sensor array capable of accurately detecting challenging line patterns.

【Comprehensive Tutorials】 Detailed tutorials and technical documentation are provided for the full development process.

【AI Voice Recognition and Broadcasting】 This module seamlessly integrates AI voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both Chinese and English keywords, offering robust capabilities for AI voice applications.

【Advanced Neural Network Processor】 Powered by a neural network processor, Hiwonder WonderEcho module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of AI voice recognition.

【Wide Compatibility】 With Type-C and I2C interfaces, WonderEcho is fully compatible with platforms such as Arduino and Raspberry Pi, enabling integration into a variety of development environments.

【Extensive Voice Interaction Library】 Preloaded with over 100 voice interaction commands, the module comes with comprehensive user guides, allowing users to easily integrate voice functionality and reduce development time.

【Built-in high definition screen】 Hiwonder WonderCam AI vision camera features an HD display, allowing the Camera to provide real-time visual feedback for better display.

【Dedicated AI chip for faster response】 At the heart of this AI camera module is a powerful dedicated AI processor, enabling the Wondercam to execute complex computer vision tasks locally with high speed and minimal latency for real-time performance.

【Compatible with Lego blocks】 Designed for versatility, this robot vision camera easily integrates into Lego creations, making it the ideal AI vision camera for STEAM education projects and rapid prototyping of AI robotic systems.

【Available for Hiwonder microbit robot car】 As a seamless upgrade, this robot camera module is the official best camera for robot learning on the micro:bit platform, instantly transforming it into a powerful, autonomous AI agent.

【Compatible with micro:bit, Arduino, Raspberry Pi etc】 WonderCam seamlessly connects via IIC to popular controllers like micro:bit, Arduino, and Raspberry Pi, making it the best camera for machine learning projects, robotics, and smart educational applications.