Raspberry Pi
Arduino
Hiwonder Aurora930 Pro 3D Structured Light Depth Camera 3D Mapping & ROS-Compatible AI Vision Module for Robots
【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.
Hiwonder
Hiwonder MentorPi T1 Raspberry Pi Robot Car – Tank Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
【Multiple Chassis Configurations】 Supports both Mecanum-wheel, Tank and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.
【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.
Hiwonder
8-Megapixel USB Wide-Angle Camera, 160° FOV, Driver-Free, Compatible with ROS Robots, Raspberry Pi and Jetson Controllers
- 【High-Performance Image Sensor】Equipped with a high-performance image sensor, the camera delivers 8-megapixel (3264x2448P resolution) output, enabling precise image capture and processing.
- 【160° Field-of-View Lens】Featuring a 160° wide-angle lens, the camera supports manual focus adjustment to meet the requirements for wide-area perception in vision-based robots.
- 【Highly Integrated Carrier Board】 The industrial-grade circuit reduces interference, improves image clarity, stabilizes signal transmission, and ensures the camera operates effectively.
- 【No Driver Required】No drivers are needed—just plug and play. The camera offers high compatibility with various controllers, enhancing deployment efficiency and improving the overall user experience.
Hiwonder
5-Megapixel USB Wide-Angle Camera, 160° FOV, Driver-Free, Compatible with ROS Robots, Raspberry Pi and Jetson Controllers
- 【High-Performance Image Sensor】Equipped with a high-performance image sensor, the camera delivers 5-megapixel (2592x1944P resolution) output, enabling precise image capture and processing.
- 【160° Field-of-View Lens】Featuring a 160° wide-angle lens, the camera supports manual focus adjustment to meet the requirements for wide-area perception in vision-based robots.
- 【Highly Integrated Carrier Board】 The industrial-grade circuit reduces interference, improves image clarity, stabilizes signal transmission, and ensures the camera operates effectively.
- 【No Driver Required】No drivers are needed—just plug and play. The camera offers high compatibility with various controllers, enhancing deployment efficiency and improving the overall user experience.
Hiwonder
2-Megapixel USB Wide-Angle Camera, 160° FOV, Driver-Free, Compatible with ROS Robots, Raspberry Pi and Jetson Controllers
- 【High-Performance Image Sensor】Equipped with a high-performance image sensor, the camera delivers 2-megapixel (1920x1080P resolution) output, enabling precise image capture and processing.
- 【160° Field-of-View Lens】Featuring a 160° wide-angle lens, the camera supports manual focus adjustment to meet the requirements for wide-area perception in vision-based robots.
- 【Highly Integrated Carrier Board】 The industrial-grade circuit reduces interference, improves image clarity, stabilizes signal transmission, and ensures the camera operates effectively.
- 【No Driver Required】No drivers are needed—just plug and play. The camera offers high compatibility with various controllers, enhancing deployment efficiency and improving the overall user experience.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi A1 Ackerman Chassis 2DOF Monocular Camera ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【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.
- 【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis 2DOF Monocular Camera ROS2-HUMBLE Support SLAM and Autonomous Driving
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【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.
- 【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
micro:bit
Hiwonder WonderEcho AI Voice Recognition Module Voice Broadcasting Custom Wake Words Offline Control
- High-Precision Voice Recognition and Broadcasting: This module seamlessly integrates voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both Chinese and English keywords, offering robust capabilities for intelligent voice applications.
- Advanced Neural Network Processor: Powered by a neural network processor, the module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of voice recognition.
- Wide Compatibility: With Type-C and I2C interfaces, the module 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.
Hiwonder
Hiwonder Binocular Depth Camera Angstrong Nuwa-HP60C Camera ROS Robot 3D Vision Mapping & Navigation
- 【Advanced 3D Imaging Technology】 Utilizing structured light 3D imaging, the camera delivers highly accurate depth maps for objects within a range of 0.2 to 4 meters, making it ideal for a variety of depth modeling applications.
- 【High-Performance Depth Computing】 The built-in depth computing chip is specifically designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
- 【Support Various AI Functions】Enables gesture control, action capture, and various other AI functions, making it suitable for a wide range of human-robot interaction scenarios. It offers an efficient solution for robot sensing, obstacle avoidance, and navigation.
- 【Broad Application】Ideal for use in robotics and 3D vision development.
Hiwonder
Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
【Multiple Chassis Configurations】 Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.
Hiwonder
Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with Large AI Model ChatGPT, SLAM and AI Vision and Voice Interaction
【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
【Multiple Chassis Configurations】 Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
【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 YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.
Hiwonder
Hiwonder Autonomous Driving Mapping & Navigation Prop Set for Various Robot Cars (3.26*2.98m)
- Simulates realistic traffic scenes, including parking lots, sidewalks, T-junctions, and other components.
- Made from durable, waterproof material with UV printing technology for an attractive appearance and long-lasting use.
- Includes four traffic signs and one traffic light to enhance interactivity.
- Offers various combination methods to accommodate cars of different heights.
- Ideal for teaching, competitions, and autonomous driving model training.
Hiwonder
RRC Lite Controller with Built-in STM32 Chip, Supports Raspberry Pi 5 Power Supply Protocol, Integrated IMU, 4-Channel Encoder Motor Ports, Servo Ports, and USB
- 【High-Performance Main Control Chip】Powered by the STM32F407VET6 chip with a Cortex-M4 core, offering a maximum clock speed of 168MHz for robust performance.
- 【Support PD Fast-Charging】 Integrated PD fast-charging chip compatible with Raspberry Pi 5 power supply protocol, ensuring stable and continuous power for extended operation.
- 【Integrated IMU Pose Sensor】Features a high-precision IMU sensor for real-time pose detection and feedback, ideal for applications in robotic balance and navigation.
- 【Abundant Peripheral Interfaces】Includes 4-channel encoder motor ports, servo ports, USB serial ports, and more, enabling flexible control of multiple peripherals.
Hiwonder
ROS Robot Control Board with STM32F407VET6 Chip, Supports 4-Channel Encoder Motor, PWM Servos, and Bus Servo Control, Compatible with JETSON, Raspberry Pi
- 【High-Performance Main Control Chip】Features the STM32F407VET6 chip with a Cortex-M4 core, 168MHz clock speed, built-in FPU, and Murata crystal oscillator, ensuring stable performance and rapid processing.
- 【Comprehensive Circuit Protection】Equipped with safeguards against reverse polarity, overcurrent, overheating, and backflow, protecting the device from damage during operation.
- 【Versatile Signal Input Support】 Includes interfaces for color display, USB, SBUS, I2C, and Bluetooth, supporting a wide range of control methods.
- 【Strong Expandability】Capable of controlling 4-channel encoder motors, PWM servos, and bus servos, making it suitable for various robotic and mechanical arm applications.
- 【Wide Compatibility】 Compatible with multiple ROS controllers, such as Raspberry Pi and JETSON, providing robust compatibility.