NVIDIA Jetson Accessory

【32-Bit ARM Chip & Dual Interfaces】Features a built-in high-performance 32-bit ARM chip with onboard GPIO and I2C ports, ensuring seamless compatibility with mainstream control platforms.

【One-Button Auto-Calibration】Skip complex manual tuning with one-button calibration technology. Calibrate all 8 channels in under a minute, drastically reducing prep time for competitions and development projects.

【Full-Color Tracking & Anti-Interference】Equipped with RGB spotlights and anti-glare phototransistors to recognize various line colors. It effectively blocks ambient light and track reflections for highly stable and reliable data output.

【Master Complex Line Following】A built-in smart algorithm effortlessly handles high-difficulty track conditions, including right-angle turns, sharp U-turns, curves, and intersections.

【Comprehensive Source Code & Tutorials】Includes practical tutorials and source code for Arduino, STM32, Raspberry Pi, and NVIDIA Jetson, allowing even beginners to get started instantly.

【High Performance & Millisecond Response】Powered by a 72MHz processor and a dynamic compensation algorithm, it delivers up to a 250Hz update rate. Fast response ensures stable, reliable data output even during high-frequency motion.

【Broad Compatibility】Supports dual-mode I2C/Serial communication with driver-free Type-C plug-and-play. Compatible with mainstream MCUs and Linux, offering seamless integration with ROS 1 and ROS 2.

【Real-Time GUI Visualization】Includes dedicated host computer software (GUI) that visualizes raw data into real-time 3D attitude models and dynamic waveforms, enabling rapid debugging without a ROS controller.

【10-Axis Spatial Sensing】Integrates a 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, and high-precision barometer. Supporting altitude measurements from 2,400m to 2,500m, it is ideal for drones, self-balancing robots, and other versatile applications.

【Versatile Project Solutions】Comes with sample code for STM32, ESP32, Raspberry Pi, and Jetson. Includes ROS 1 & ROS 2 application demos and RViz visualization setups for out-of-the-box deployment.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Perfectly fits the official NVIDIA Jetson Nano SOM with hassle-free installation, effortlessly unlocking powerful edge AI computing.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【ROS2 Development Support】Fully compatible with ROS2 to enable scene understanding, computer vision, and object detection. Experience a seamless, end-to-end pipeline from cloud model deployment to local hardware execution.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Fully compatible with official NVIDIA Jetson Orin Nano and Orin NX modules. Interchangeable core configurations allow you to scale edge AI computing power as needed.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【Blazing-Fast Storage】Pre-flashed for instant startup, the 128GB SSD supercharges system response, leaving plenty of room to run complex AI models and store massive development logs.

【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.

【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.

【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.