Jetson Nano
Hiwonder
Hiwonder JetAuto ROS Robot Car Powered by Jetson Nano with Lidar Depth Camera Touch Screen, Support SLAM Mapping and Navigation
- 【Smart ROS Robots Driven by AI】JetAuto is powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, human feature recognition, and KCF target tracking.
- 【SLAM Development and Diverse Configuration】JetAuto is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.JetAuto offers two Lidar options: SLAMTEC A1 and EAI G4 (advanced).
- 【Far-field Voice Interaction】JetAuto advanced kit incorporates a 6-microphone array and speaker allowing for fascinating man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, offline voice recognition, voice-controlled mapping navigation, etc.
- 【Robot Control Across Platforms】JetAuto provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetAuto to perform specific actions. Please note that navigation app is exclusively available for Android system.
Hiwonder
Fan Module: Hiwonder Robot Module Compatible with Arduino/ Raspberry Pi/ Jetson Nano/ micro:bit
- Working voltage: DC 5V
- Max working current: 125mA
- Size: 48mm×48mm
- 4 Pin wire port. Connecting wire is provided. Easy to connect
- The holes are compatible with LEGO bricks
Hiwonder
Hiwonder JetHexa ROS Hexapod Robot Kit Powered by Jetson Nano with Lidar Depth Camera Support SLAM Mapping and Navigation
- 【Powered by NVIDIA Jetson Nano】JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration.
- 【SLAM Development and AI Application】Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
- 【Inverse Kinematics Algorithm】JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.
- 【Robot Control Across Platforms】JetHexa provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetHexa to perform specific actions.
Hiwonder
Astra Pro Plus Realsense Depth Camera Support 3D Mapping Navigation for ROS ROS2 Robotics SLAM Raspberry Pi
- Compatible with ROS and Raspberry Pi
- Support face recognition, gesture recognition, object tracking, etc.
- Comes with a RGB camera, IR camera, infrared projector, and depth processor
- 【Driven by AI, Powered by NVIDIA Jetson Nano】JetMax is an open source AI robotic arm developed based on ROS. It is based on the Jetson Nano control system, supports Python programming, adopts mainstream deep learning frameworks, and can realize a variety of AI artificial intelligence applications.
- 【AI Vision, Deep Learning】The end of JetMax is equipped with a high-definition camera, which can realize FPV video transmission. Image processing through OpenCV can recognize colors, faces, gestures, etc. Through deep learning, JetMax can realize image recognition and item handling.
- 【Inverse Kinematics Algorithm】JetMax uses an inverse kinematics algorithm to accurately track, grab, sort and palletize target items in the field of view. Hiwonder will provide inverse kinematics analysis courses, connected coordinate system DH model and inverse kinematics function source code.
- 【Multiple Expansion Methods】You can purchase additional McNamee wheel chassis or slide rails to expand your JetMax, expand the range of motion of JetMax, and do more interesting AI projects.
- 【Detailed Course Materials and Professional After-sales Service】We provide 200+ courses and provide online technical assistance (China time) to help you learn JetMax more efficiently! Course content includes: introduction to the use of JetMax, ROS and OpenCV series courses, AI deep learning courses, inverse kinematics courses, action group editing teaching courses, and creative gameplay courses. Note: Hiwonder only provides technical assistance for existing courses, and more in-depth development needs to be completed by customers themselves.
- Support Raspberry Pi 4B/3B
- Support Jetson Nano
- 16GB/32GB/64GB/ Jetson Nano
Accessory
Micro-HDMI to HDMI Adapter Cable for Raspberry Pi 4B 1.5M 4K Data Transfer Display Connector Wire
- Used for Raspberry Pi 4B
- Micro-HDMI to HDMI transfer cable
- Pay attention to the direction of the interface
Hiwonder
WonderMV Vision Recognition Module AI Intelligent Camera Python Development Board CanMV Sensor
- 【Artifncial Intelligence, Powerful Computing Power】WonderMV open source vision module is a powerful and cost-effective Al vision module. It is developed based on the K210 chip and supports 12 AI vision items such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, and tag recognition function.
- 【Compatible with Various Controllers】WonderMV vision module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi, Arduino, Micro:bit, etc. Users can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.
Hiwonder
iFLYTEK Far-Field Microphone Array Module ROS Six-Microphone Voice Board 6-Microphone Sound Source Positioning Navigation
- Real-time Translation
- Sound Source Localization
- Support ROS
- TTS (Text to Speech)
- Offline Voice Recognition
- Echo Cancellation
- Audio Noise Reduction
- Indoor and outdoor availability
- Support ROS1/ROS2
- Binocular structured light
- Small measurement blind spot
- Support Raspberry Pi/ JETSON/ Windows
- Indoor and outdoor availability
- Support ROS1/ROS2
- Binocular structured light
- Small measurement blind spot
- Support Raspberry Pi/ JETSON/ Windows
Hiwonder
USB Wide-angle Camera Jetson Nano Raspberry Pi 5 Driver-free Smart Car ROS Robot Vision Module
- HD wide angle camera
- Compatible with a variety of controllers
- 70°-170° field of view
- 480P-1080P resolution
- High Performance SPAD Chip
- Support ROS1/ROS2
- 12m Ranging Range
- Compatible with Raspberry Pi/ Jeston and other controllers
- Compared with the entry-level Jetson Nano B01, Jetson Orin Nano interface resources are optimized and upgraded, and the performance is improved by 40~80 times. It is more suitable for users who need to learn artificial intelligence in depth or create difficult projects.
- Pre-installed with the 8265AC NGW dual-band WIFI Bluetooth network module, with antennas built-in.
- The core module of Jetson Orin Nano does not feature eMMC storage, so it is necessary to either install NVME SSD or utilize an SD card for storage. However, Hiwonder's development kit comes with a 256GB SSD, and the system image has been burned pre-flashed, ensuring immediate usability upon receipt.