Rasp Rover PI4B AI Kit Acc - mobile robot for Raspberry Pi 4B
ID: 1189479
zł898.99
Tax included
zł730.89 tax excl.
A compact AI robot designed to work with Raspberry Pi 4B minicomputers, offering powerful resources and wide exploration opportunities for technology enthusiasts. Thanks to its dual controller, integration with Python and OpenCV, and the ability to be controlled via a web browser, RaspRover enables the implementation of advanced projects in the field of vision analysis, face recognition and interaction through gestures. It is the perfect platform for creative experiments in the field of artificial intelligence and robotics. Waveshare RaspRover PI4B AI Kit Acce (EU)
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free shipping in Poland for all orders over 500 PLN
Same day shipping
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14 days for return
Each consumer can return the purchased goods within 14 days
Description
RaspRover is a 4-wheel AI robot designed for Raspberry Pi 4B mini computers. Its compact size and powerful resources offer vast creative possibilities for technology enthusiasts, hobbyists, and beginner programmers. The robot is capable of handling complex applications and functions, inspiring your creativity.
RaspRover is compatible with Raspberry Pi 4B, offering powerful computational performance suitable for advanced projects and exploration in the field of Artificial Intelligence (AI). With a dual-controller setup, the robot ensures efficient collaboration and enhanced operational performance. The main controller, based on Raspberry Pi, handles AI functionalities and advanced planning, enabling the execution of complex tasks and process automation. The ESP32 auxiliary controller manages precise robot motion control and sensor data processing, ensuring smooth and accurate device operation.
The robot is equipped with a 5MP camera with a wide 160° field of view, ideal for capturing fine details, making it a perfect tool for imaging and visual analysis tasks. It offers advanced computer vision capabilities that support various tasks in computer vision. Using a lightweight Flask web application, the robot enables high-resolution real-time video streaming and digital image zooming. All operations are based on Python, allowing easy expansion and integration with the OpenCV library. The robot supports color recognition and automatic tracking, facilitating one-button Pan-Tilt control and automatic LED lighting. These functions can be extended with additional options.
With OpenCV-based face recognition, the robot can automatically take photos or record videos upon recognizing a face. RaspRover also supports intelligent object recognition, allowing identification of various common objects using default models. Through the integration of OpenCV and MediaPipe technologies, the robot enables gesture control, facilitating interaction with Pan-Tilt and LED lighting. Additionally, MediaPipe, an open-source tool from Google, allows for the creation of complex video processing tasks such as face detection, pose detection, and line tracking for autonomous driving. The visual line tracking feature, integrated with computer vision demonstration, enhances user understanding of autonomous driving algorithms through straightforward disassembly.
RaspRover can be controlled via a web browser without the need for application installation. Simply open a browser and start exploring. The robot supports real-time video streaming and offers many advanced computer vision features. These include object detection, tracking, and targeting, as well as face recognition and gestures. This makes RaspRover an ideal platform for realizing your ideas and creativity. The ability to remotely control the robot via a web application without the need for additional software downloads enhances its versatility and ease of use. RaspRover supports high-resolution real-time video streaming, enabling detailed environmental analysis and utilizing AI for complex computer vision tasks. With these advanced technologies, RaspRover is an excellent choice for technology enthusiasts looking to explore the capabilities of artificial intelligence and robotics.
Specifications
- Main Controller: RPi 4B 4GB (not included)
- Supported Operating System: Debian Bookworm
- ROS2 Version: ROS2-HUMBLE-LTS
- Functions: object detection, gestures, face recognition, motion, line tracking, color recognition
- Camera Field of View (FOV): 160°
- Power Supply: UPS 3S module
- Supported Batteries: 3 x Li-Ion 18650 batteries (not included)
- Control Methods: web application, programming in Jupyter Lab
- Default Maximum Speed: 0.65 m/s
- Number of Drive Wheels: 4 with built-in encoders
- Tire Diameter: 80 mm
- Tire Width: 42.5 mm
- Minimum Turning Radius: 0 m (pivot turn)
- Dimensions: 172.4 x 182.91 x 132.13 mm
- Chassis Height: 33.70 mm
- Weight: 1007g
Included in the Package
- RaspRover (assembled)
- Box
- Accessory kit
- 12.6V 2A power supply
- Wireless controller (without batteries)
- Colorful plastic balls
- Tape
1189479
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