TonyPi: Hiwonder AI Intelligent Visual Humanoid Robot Powered by Raspberry Pi 4G 4GB
TonyPi: Hiwonder AI Intelligent Visual Humanoid Robot Powered by Raspberry Pi 4G 4GB
Product Description
TonyPi intelligent visual humanoid robot uses Raspberry Pi as the central controller. OpenCV is the image processing library, which uses Python language programming. The robot is equipped with a 2DOF high-definition camera to realise Al many games. It equipped with high-voltage bus servo and voltage display. With built-in action groups, TonyPi can complete many challenging motion like push-ups.
Feature
Vision Auto Shooting
Perform image processing through OpenCV to obtain the ball’s position, and then use PID algorithm to track and kick it automatically.
Color Recognition
Use OpenCV to convert the image into LAB color space, then obtain the recognized color. TonyPi nods when recognizes red and shakes for the green and blue.
Tag Recognition (AprilTag)
TonyPi performs actions according to the recognized tags. In addition to the provided tags, you’re encouraged to program your own tags and actions.
Facial Recognition
Use OpenCV to load the trained face detection model. TonyPi will operate the greeting action when recognizes a face.
Color Tracking
Processing images through OpenCV to receive positions of red, green and blue, TonyPi tracks the target color in real time.
Line Following
TonyPi can recognize black, white and red line through OpenCV. Calculate the line’s position and then adjust the route to follow.
Intelligent Transport
Motion Tracking
Control Method
Provide PC software and APP for TonyPi's control. In the “WonderPi” App, you can connect it to the wireless LAN instead of searching IP in router to set the MAC, which is easier!
High Voltage Bus Servo
11.1V high voltage bus servo reduces current by more than 60%, which improves the robot’s service time.
2DOF Wide-angle Camera
Loaded with 120° wide angle HD camera, TonyPi can look uo and around for wider vision. Support manual focus adjustment.
Powerful Control System
Packing List
Note: the TonyPi robotic arm includes a Raspberry Pi 4B 4GB controller. The memory card is 16G.
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TonyPi: Hiwonder AI Intelligent Visual Humanoid Robot Powered by Raspberry Pi 4G 4GB
- Python programming language
- High-definition camera, catch the real-time image
- Large capacity battery, long service time
- Powered by Raspberry Pi, 4B 2G and 4B 4G for your choice
- Provide PC software source code and Python source code
- Voltage display, measure the current-voltage of the robot battery
- Support PC software, phone App and VNC remote desktop control
- Product SKU: HW2019090
- Category: All Products, Best Seller, Competition Robot, Humanoid Robot, Raspberry Pi, Robotics, Robotics
- Order within
Available:
In Stock
$519.99
Product Description
TonyPi intelligent visual humanoid robot uses Raspberry Pi as the central controller. OpenCV is the image processing library, which uses Python language programming. The robot is equipped with a 2DOF high-definition camera to realise Al many games. It equipped with high-voltage bus servo and voltage display. With built-in action groups, TonyPi can complete many challenging motion like push-ups.
Feature
- The robot kit includes the Raspberry Pi 4B 4GB controller board.
- Large capacity battery, long working duration
- Robot battery voltage display
- Installed HD camera catches real-time images
- Provide PC software source code and Python source code
- Support PC software, phone App and VNC remote desktop control
Vision Auto Shooting
Perform image processing through OpenCV to obtain the ball’s position, and then use PID algorithm to track and kick it automatically.
Color Recognition
Use OpenCV to convert the image into LAB color space, then obtain the recognized color. TonyPi nods when recognizes red and shakes for the green and blue.
Tag Recognition (AprilTag)
TonyPi performs actions according to the recognized tags. In addition to the provided tags, you’re encouraged to program your own tags and actions.
Facial Recognition
Use OpenCV to load the trained face detection model. TonyPi will operate the greeting action when recognizes a face.
Color Tracking
Processing images through OpenCV to receive positions of red, green and blue, TonyPi tracks the target color in real time.
Line Following
TonyPi can recognize black, white and red line through OpenCV. Calculate the line’s position and then adjust the route to follow.
Intelligent Transport
Motion Tracking
Control Method
Provide PC software and APP for TonyPi's control. In the “WonderPi” App, you can connect it to the wireless LAN instead of searching IP in router to set the MAC, which is easier!
High Voltage Bus Servo
11.1V high voltage bus servo reduces current by more than 60%, which improves the robot’s service time.
2DOF Wide-angle Camera
Loaded with 120° wide angle HD camera, TonyPi can look uo and around for wider vision. Support manual focus adjustment.
Powerful Control System
- Independent power switch for stable power supply
- channel PWM servo port with avoiding current protection
- Loaded 6-axis sensor IC helps data collection
- GPIO pins and 4 IIC ports for users’ extension
- 4PIN ports are compatible with Hiwonder sensors
Packing List
Note: the TonyPi robotic arm includes a Raspberry Pi 4B 4GB controller. The memory card is 16G.
Product Description
TonyPi intelligent visual humanoid robot uses Raspberry Pi as the central controller. OpenCV is the image processing library, which uses Python language programming. The robot is equipped with a 2DOF high-definition camera to realise Al many games. It equipped with high-voltage bus servo and voltage display. With built-in action groups, TonyPi can complete many challenging motion like push-ups.
Feature
- The robot kit includes the Raspberry Pi 4B 4GB controller board.
- Large capacity battery, long working duration
- Robot battery voltage display
- Installed HD camera catches real-time images
- Provide PC software source code and Python source code
- Support PC software, phone App and VNC remote desktop control
Vision Auto Shooting
Perform image processing through OpenCV to obtain the ball’s position, and then use PID algorithm to track and kick it automatically.
Color Recognition
Use OpenCV to convert the image into LAB color space, then obtain the recognized color. TonyPi nods when recognizes red and shakes for the green and blue.
Tag Recognition (AprilTag)
TonyPi performs actions according to the recognized tags. In addition to the provided tags, you’re encouraged to program your own tags and actions.
Facial Recognition
Use OpenCV to load the trained face detection model. TonyPi will operate the greeting action when recognizes a face.
Color Tracking
Processing images through OpenCV to receive positions of red, green and blue, TonyPi tracks the target color in real time.
Line Following
TonyPi can recognize black, white and red line through OpenCV. Calculate the line’s position and then adjust the route to follow.
Intelligent Transport
Motion Tracking
Control Method
Provide PC software and APP for TonyPi's control. In the “WonderPi” App, you can connect it to the wireless LAN instead of searching IP in router to set the MAC, which is easier!
High Voltage Bus Servo
11.1V high voltage bus servo reduces current by more than 60%, which improves the robot’s service time.
2DOF Wide-angle Camera
Loaded with 120° wide angle HD camera, TonyPi can look uo and around for wider vision. Support manual focus adjustment.
Powerful Control System
- Independent power switch for stable power supply
- channel PWM servo port with avoiding current protection
- Loaded 6-axis sensor IC helps data collection
- GPIO pins and 4 IIC ports for users’ extension
- 4PIN ports are compatible with Hiwonder sensors
Packing List
Note: the TonyPi robotic arm includes a Raspberry Pi 4B 4GB controller. The memory card is 16G.
| Item | Specification |
| Raspberry Pi 4B | Processor: Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz Memory: 1GB, 2GB or 4GB LPDDR4(depending on model) Connectivity: 2.4 GHz and 5.0 GHz IEEE 802.11b/g/n/ac wireless LAN, Bluetooth 5.0, BLE Gigabit Ethernet 2 × USB 3.0 ports 2 × USB 2.0 ports GPIO: Standard 40-pin GPIO header(fully backwards-compatible with previous boards) Video & Sound: 2 × micro HDMI ports (up to 4Kp60 supported) 2-lane MIPI DSI display port 2-lane MIPI CSI camera port 4-pole stereo audio and composite video port Multimedia: H.265 (4Kp60 decode) H.264 (1080p60 decode, 1080p30 encode) OpenGL ES, 3.0 graphics SD card support: Micro SD card slot for loading operating system and data storage Input power: 5V DC via USB-C connector (minimum 3A) 5V DC via GPIO header (minimum 3A) Power over Ethernet (PoE)–enabled(requires separate PoE HAT) Environment: Operating temperature 0–50ºC
|
| Raspberry Pi Extension Board | The built-in over-current protection of 8 channel PWM port prevents the servo from damage. Built-in single bus serial electric circuit can directly control the serial servo Two-channel programmable LED lights, clearly show the working status of the system Two-channel programmable buttons for more conveniently setting the system Reserved IIC and UART ports, which can be compatible with various sensors |
| Servo | LX-824 three-port bus servo |
| Power Supply | 11.1 V 2000mAh lithium battery |
| Product Weight | 1.7 kg |
| Working Hours | about 60min |
| Package List(Finished Parts) |
1* robot frame |
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