Module & Sensor

【Drive by AI & Powered by K230】 Built on the K230 chip with 6TOPS equivalent AI performance—13.7× faster than K210—and supports 1-click AI training.

【30+ AI Vision Features】 Equipped with a 2MP HD camera and a touchscreen, the module can recognize objects, colors, humans, faces, digits, text, gestures, and more.

【Deploy AI Large Models】 Switch freely between Large Vision Models, Large Speech Models, and Large Language Models for smart chat, intelligent Q&A, text recognition, and image understanding.

【Multi-Controller Support】 Programmable with MicroPython and compatible with Arduino, Raspberry Pi, ESP32, and other controllers, supporting YOLOv11 deep learning for flexible AI expansion.

【Comprehensive Tutorials】 Packed with tutorials and AI project examples from beginner to advanced for fast hands-on learning.

【Drive by AI & Powered by ESP32-S3】Built on the ESP32-S3 core, featuring a 2MP HD camera, touchscreen, microphone, and speaker for versatile AI interaction.

【Multimodal Large AI Model】Integrates text, voice, and vision models, supporting custom characters and voice tones for natural conversations, emotion recognition, and scene understanding.

【Graphical Interface】LVGL GUI combines visual control, environment sensing, and local media in one smooth touchscreen interface, with sample projects for custom expansion.

【Rich Onboard Resources】Includes a 6-axis accelerometer, temperature sensor, dual light/IR sensor, five programmable buttons, and multiple communication interfaces for advanced development.

【Comprehensive Tutorials】Provides source code, AI project examples, and comprehensive tutorials covering beginner to advanced levels for fast and effective learning.

【AI-Powered Vision Module】WonderLLM, powered by the ESP32-S3 chip, is compatible with the XiaoZhi AI platform and integrates multimodal AI models, enabling features like smart chat, emotion perception, semantic understanding, and scene understanding.

【High-Performance Hardware】Includes a 2MP HD camera, AI neural network processor, high-fidelity speakers, and a 2.0-inch LCD touch screen, delivering smooth, high-quality audio-visual interaction.

【Offline Visual & Voice Interaction】Enable AI features like WiFi video streaming, color recognition, facial detection, and voice control without needing an internet connection.

【Broad Compatibility】With the I2C interface, WonderLLM is compatible with mainstream controllers such as Arduino, ESP32, STM32, and more. It's plug-and-play, enabling easy expansion into a variety of AI applications.

【Comprehensive Tutorials】Includes complete training materials from beginner to advanced levels, along with a wealth of practical case studies to help you quickly master AI model development.

【Drive by AI & Powered by K230】 Built on the K230 chip, Hiwonder CanMV K230 AI Development Board unlocks 6 TOPS equivalent computing power (13.7× faster than K210) and supports custom model training.

【30+ AI Vision Features】 With an HD camera and touchscreen, K230 board offers AI vision features such as color recognition, object counting, and face detection.

【Supports Multiple Development Platforms】 Supports MicroPython programming and works with platforms such as Jetson, Raspberry Pi, ESP32, STM32, and Arduino—perfect for expanding AI projects.

【Comprehensive Tutorials】 Source code and a variety of AI project examples, from beginner to advanced, are provided to help you get started quickly.

【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.

【Ultra High Resolution with WiFi Video Transmission】 This module features a 2-megapixel camera and supports dual-mode network communication for real-time WiFi video transmission.

【Developed upon ESP32-S3 Chip】 Powered by the ESP32-S3 chip, it operates at frequencies of up to 240MHz and supports Type-C and IIC communication protocols.

【AI Vision Recognition】 The ESP32 S3 vision module is capable of face recognition, color detection, line tracking, and more, with options for custom recognition features.

【Versatile Compatibility】 Works with Arduino, Raspberry Pi, and other platforms for a range of applications.

【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.