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【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.

4-way tracking with high sensitivity and precision

4PIN connector for easy wiring

Compatible with LEGO

Source codes and resources are provided

【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.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi A1 robot is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 2DOF monocular camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.