RaspRover PI 5 AI Kit Acc - mobile robot for Raspberry Pi 5
ID: 1189477
zł955.64
Tax included
zł776.94 tax excl.
A compact AI robot designed to work with Raspberry Pi 5 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 PI5 AI Kit Acce (EU)
Free shipping
free shipping in Poland for all orders over 500 PLN
Same day shipping
If your payment will be credited to our account by 11:00
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 5 mini computers. With its compact size and powerful resources, it offers extensive creative possibilities for technology enthusiasts, hobbyists, and beginner programmers. The robot meets the challenges of complex applications and functions, inspiring your creativity.
RaspRover is compatible with Raspberry Pi 5, offering powerful computational performance for advanced projects and exploring the world 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, supports AI functions and advanced planning, enabling complex task execution and process automation. The auxiliary controller ESP32 is responsible for 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 (FOV), allowing detailed capture, making it an ideal tool for imaging and visual analysis tasks. It offers advanced visual analysis capabilities supporting a variety of computer vision tasks. Using a lightweight Flask web application, the robot enables high-resolution real-time video transmission and digital image zooming. All of this is based on Python, allowing for easy expansion and integration with the OpenCV library. The robot supports color recognition and automatic tracking, facilitating one-touch Pan-Tilt control and automatic LED lighting. These features can be extended with additional options.
With face recognition based on OpenCV, the robot can automatically take photos or record videos when it detects a face. RaspRover also supports intelligent object recognition, allowing identification of various common items using default models. Through the combination of OpenCV and MediaPipe technologies, the robot enables gesture control, facilitating interaction with Pan-Tilt and LED lighting. Additionally, MediaPipe as an open-source tool from Google enables the creation of complex video processing tasks such as face recognition, pose detection, and line tracking for autonomous driving. The visual line tracking feature integrated with computer vision demos helps users better understand autonomous driving algorithms through easy disassembly.
RaspRover can be controlled via a web browser without the need for installing applications. Simply open your browser and begin your adventure. The robot supports real-time video transmission and offers many advanced computer vision features. These capabilities include object recognition, tracking, and targeting, as well as face and gesture recognition. 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 to download additional software enhances its versatility and user convenience. 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 possibilities of artificial intelligence and robotics.
Features
- Main Controller: RPi 5 4GB (not included in the kit)
- 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 in the kit)
- Control Methods: web application, Jupyter Lab programming
- 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
Kit contains
- RaspRover (assembled)
- Box
- Accessory kit
- 12.6V 2A power supply
- Wireless controller (batteries not included)
- Colorful plastic balls
- Tape
1189477
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