All Products
- 【High-quality AI Education Demonstration System】AiArm is a smart vision robot arm powered by a self-developed controller, CoreX. It adopts high-performance intelligent servos and vision modules and can be programmed in Scratch and Python. With its impressive capabilities, AiArm unlocks diverse AI applications, such as smart vision-guided recognition and grasping.
- 【AI Vision Recognition and Tracking】AiArm combines the WonderCam AI vision module to recognize and locate target objects, enabling the implementation of AI applications like color sorting, waste sorting.
- 【Different Motion Control Methods】Whether it's PC software control, offline control, or inverse kinematics control, you have the versatility to design and edit various actions, unlocking the full potential of the robot arm's capabilities.
- 【Multiple Sensor Expansion】Integrating with sensors and modules, AiArm can execute various interesting functions, including an Al face tracking fan, ultrasonic vision hunt.
Hiwonder
DaDa:bit AI Programmable Building Block Kit Powered by micro:bit with AI Vision Module Supports Sensor Expansion
- 【One-click Training and Learning】DaDa:bit AI features a high-performance WonderCam AI vision module with an integrated HD camera. DaDa:bit AI's AI vision module is integrated with some learning algorithms, allowing it to complete diverse AI vision projects such as color recognition and vision line following.
- 【Support micro:bit Programming】DaDa:bit AI is a programmable robot kit based on micro:bit, which uses micro:bit as the core controller. It is suitable for learning micro:bit programming. Drag and drop building block style modules for programming, which is easy to learn. Let children learn programming without any threshold and exercise logical thinking.
- 【Multiple Shapes Support Sensor Expansion】DaDa:bit AI has ten shapes, which can be matched with a variety of electronic modules and sensors. Combined with the WonderCam AI vision module, it can quickly realize a variety of creative gameplay.
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- 【Comprehensiveness】 The IoT system encompasses light sensors, raindrop sensors, ultrasonic sensors, and WiFi modules, providing you with the opportunity to understand the fundamental principles of sensors and wireless communication.
- 【Interactivity】 The IoT system simulates scenarios and integrates with practical use cases to vividly demonstrate its effectiveness.
- 【Practicality】 This kit provides a hands-on opportunity to comprehend the operational logic of sensors and data processing. Extensive tutorials are available to help you become proficient in IoT and sensor technology.
- 【Flexibility】 Utilizing micro:bit, the IoT system can be expanded with diverse functions, enhancing your capacity for technological innovation and problem-solving.
- 【Official Jetson Nano Orin Module】Utilizes the NVIDIA Jetson Orin Nano module to ensure consistency in performance, onboard resources, and dimensions with the official carrier board.
- 【Custom Carrier Board Optimization】The Hiwonder custom carrier board optimizes 2 CSI camera interfaces and 1 HDMI interface, enhancing user experience.
- 【Enhanced Safety Protection】Added DC power input reverse polarity protection and USB interface overcurrent protection for increased safety.
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
ROSPug Quadruped Bionic Robot Dog Powered by Jetson Nano ROS Open Source Python Programming
- 【Driven by Jetson Nano and high-voltage intelligent serial bus servos】ROSPug is a smart quadruped robot dogdruped robot driven by Jetson Nano and built on the Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic intelligent serial bus servos, delivering high-precision performance, rapid rotation speed, and robust torque.
- 【AI Vision, Unlimited Creativity】ROSPug is equipped with an HD wide-angle camera. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition and localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and tag recognition.
- 【Various Control Methods and Live Camera Feed】You can conveniently control ROSPug through WonderROS app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, ROSPug provides a first-person perspective experience by transmitting the live camera feed to the app.
- 【Gait Planning, Free Adjustment】ROSPug incorporates inverse kinematics algorithm offering precise control over the touch time, lift time, and lifted height of each leg. You can easily adjust these parameters to achieve different gaits, including ripple and trot. Additionally, ROSPug provides detailed analysis of inverse kinematics, along with the source code for the inverse kinematics function.
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
Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis 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.
- 【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.
Hiwonder
Hiwonder Raspberry Pi 5 Robot Car MentorPi A1 Ackerman Chassis 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.
- 【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.
- Provide ROS2 Compatible Programs
- Image Free Screw Pack
- 【Jetson Orin NX SOM module】Utilizes the official Jetson Orin NX module, providing robust and stable performance.
- 【Custom Carrier Board】We have developed our own carrier board that is compatible with official onboard resources, enhancing power supply and optimizing performance.
- 【Multiple Memory Options】Available in both 8GB and 16GB memory configurations to meet varying requirements.
- 【Comprehensive Accessories】The kit includes a Wi-Fi network card, 258GB SSD, and power supply, making it ready for immediate use.
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.
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 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.
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 UNO Expansion Board Compatible with Arduino, Supports Motor and Servo Control, Bluetooth Communication, and Sensor Integration, Ideal for Robotic Arm and Robot Car
- 【Compatible with Arduino】Features a standardized interface and unified communication protocol. The Arduino UNO controller can be directly connected to the expansion board without additional wiring.
- 【High-Performance 32-Bit CPU】Equipped with a high-performance 32-bit CPU that supports closed-loop control and current protection, ensuring precise servo control, encoder motor management, and stable voltage regulation.
- 【Comprehensive Peripheral Ports】Includes onboard serial bus servo ports, PWM servo ports, 4-channel encoder motor ports, a Bluetooth communication port, and an I2C expansion port, enabling versatile development and support for various application scenarios.