NVIDIA Jetson

【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 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.

【ROS2 & High-Performance Hardware】 ROSOrin runs on ROS2, compatible with Jetson and Raspberry Pi. It features LiDAR, a 3D camera, and a six-microphone array for tasks like mapping and navigation, 3D recognition, and voice interaction.

【Multimodal Large AI Model】 ROSOrin integrates a ChatGPT-based AI model for advanced embodied AI applications, such as environment perception, task planning, and autonomous driving.

【Versatile Chassis Expansion】 Switches between Mecanum, Ackermann, and differential drive chassis, paired with a swing arm suspension system for stable movement and precise control on complex terrains.

【AI Vision Algorithms】 Equipped with YOLOv11, OpenCV, MediaPipe, and KCF algorithms, ROSOrin delivers powerful visual perception for advanced applications like autonomous driving, face recognition, and target tracking.

【Learning Resources】 Includes comprehensive tutorials, source code, and AI project examples from beginner to advanced, everything needed to move from first build to advanced ROS robot applications.

【3D Structured Light & High-Performance ASIC Depth Processor】 The Aurora930Pro utilizes structured light 3D imaging technology combined with a dedicated ASIC depth processing chip to deliver highly accurate depth maps within a range of 0.3 to 3 meters. It performs reliably in challenging environments such as bright light, backlighting, low light, and even semi-transparent surfaces.

【74° HFOV Wide-Angle Lens & High-Resolution Imaging】 Equipped with a 74° horizontal field of view (HFOV) lens and a high-resolution image sensor paired with an advanced ISP image processor, the Aurora930Pro captures sharp, detailed color images and depth data.

【Multimodal Perception & Scene Reconstruction】 The camera supports the output of various types of visual data—including point clouds, textures, color, motion, and timestamps—enabling rich multimodal perception. It is also compatible with mainstream 3D vision frameworks such as VSLAM for scene reconstruction.

【Compact, Lightweight Design & Low Power Consumption】 Integrating depth processing and image processing into a single compact module, the Aurora930Pro consumes less than 1.6W of power. The aluminum alloy housing ensures a lightweight yet robust build, with a compact form factor and standard mounting holes for easy installation.

【Comprehensive SDKs & Educational Resources】 The device comes with a complete software development kit (SDK), source code for ROS1 and ROS2, ready-to-use robot application examples, and a wealth of professional educational materials. It supports multiple platforms including Linux, Ubuntu, Windows, and programming languages such as C and Python.

【AI-Driven and Jetson-Powered】JetArm Pro is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with the Jetson Nano, Orin Nano, or Orin NX as the main controller, and is fully compatible with both ROS1 and ROS2. With Python and deep learning frameworks integrated, JetArm Pro is ideal for developing sophisticated AI projects.

【High-Performance AI Robotics & 3D Vision】 JetArm Pro features six high-torque smart bus servos, a 3D depth camera, a 7-inch touchscreen, and a microphone array—bringing together powerful hardware to support a wide range of AI-powered capabilities, including 3D spatial grasping, target tracking, object sorting, voice control, and embodied AI.

【Enhanced Human-Robot Interaction Powered by AI】JetArm Pro leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, JetArm Pro boasts outstanding perception, reasoning, and action abilities, enabling more advanced embodied AI applications and delivering a natural, intuitive human-robot interaction experience.

【Versatile Multimodal Expansion】With support for Mecanum wheel and tank chassis, electric sliding rail, and conveyor belt, JetArm Pro easily adapts to creative AI applications like intelligent transport, line following, and automated workflows—making it ideal for building advanced, scalable AI scenarios.

【Advanced Technologies & Comprehensive Tutorials】With JetArm Pro, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv11, MediaPipe, AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide in-depth learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your own AI-powered robotic arm.

【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.