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Δωρεάν μεταφορικά για παραγγελίες άνω των 85€ για δέματα έως 2kg.
Σε παραγγελίες κάτω των 85€ τα μεταφορικά ξεκινούν από 2.70€.
BOXNOW από 2.20€ για παραλαβή απο θυρίδα.
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Τρόποι πληρωμής | Τρόποι αποστολής
The RaspRover is an AI robot designed for exploration and creation, seamlessly connecting your imagination with reality. Suitable for tech enthusiasts, makers, or beginners in programming, it is your ideal choice for exploring the world of intelligent technology.
Powered by with the high-performance Raspberry Pi computer to meet the challenges of complex strategies and functions, and inspire your creativity. Adopts dual-controller design, combines the high-level AI functions of the host controller with the high-frequency basic operations of the sub controller, making every operation accurate and smooth.
Easy to be controlled remotely via RaspRover Web Application without downloading any software, just open your browser and start your journey. Supports high-frame rate real-time video transmission and multiple AI Computer Vision functions, the RaspRover is an ideal platform to realize your ideas and creativity!
Supports Raspberry Pi 5 / Raspberry Pi 4B, offering powerful computing performance for more possibilities.
The host controller adopts Raspberry Pi for AI vision and strategy planning, and the sub controller uses ESP32 for motion control and sensor data processing. Improves the processing efficiency and response speed of the host computer without bearing all tasks. The sub controller focuses on basic functions to ensure the accurate and smooth actions of robot.
Based on OpenCV to achieve Color Recognition and automatic targeting. Supports one-key Pan-Tilt control and automatic LED lighting, allows expansion for more functions.
Face Detection: Automatic picture or video capturing
Based on OpenCV to achieve Face Recognition, supports automatic photo taking or video recording once a face is recognized.
Supports recognizing for many common objects with the default model.
Combines OpenCV and MediaPipe to realize gesture control of Pan-Tilt and LED.
MediaPipe is an open-source framework developed by Google for building cross-platform multimedia processing pipelines, provides a set of pre-built components and tools, its high-performance processing capability enables the robot to respond to and process complex multimedia inputs such as real-time video analytics.
Integrated with vision line tracking function on the Computer Vision demo, comes with yellow tape for easier planning a path for the robot. Users can understand the basic algorithms of autonomous driving with this simple demo.
Reserved space on the mounting plate with M2.5 mounting holes, for installing D500/STL27L Lidar or other peripherals. Comes with screws and cables for installing the D500 Lidar, please refer to wiki page for more details. (Note: The D500 Lidar and battery set are not included.)
The robot only occupies the UART interface of the Raspberry Pi GPIO for communication, adapting outer side 40-pin header on the driver board for expanding more peripherals and functions.
Quick to set up, easy to expand. Easily customize and add new functions without modifying front-end code.
Based on ESP-NOW communication protocol, multiple robots can communicate with each other without IP or MAC address, achieving multi-device collaboration with 100-microsecond low-latency communication.
Comes with a wireless gamepad, making robot control more flexible. You can connect the USB receiver to your PC and control the robot remotely via the internet. Provides open source demo for customizing your own interaction method.
Rich tutorial resources
We provide complete tutorials and demos to help users get started quickly for learning and secondary development.
Used as the sub controller of the robot, onboard ESP32 module and can be controlled via serial port, http request, ESP-NOW and other communication protocols, provides a web application for some basic control of the robot. ESP32 can handle low-level computations for the robot, such as high-frequency PID controller for controlling wheel speed, high-frequency inverse kinematics calculations for robotic arm linkages, position interpolation calculation, Pan-Tilt angle control and OLED screen control, etc. ESP32 is also responsible for data reading of various sensors, such as IMU (9-axis attitude sensor) and INA219 (battery voltage detection), and can independently achieve the camera vertical stabilization function, effectively saving computing and IO resources for the host controller.
Equipped with audio driver board, dual-track speaker, and onboard microphone, built in 3.5mm audio jack for connecting peripherals to achieve text-to-speech and audio playing.
No App installation required, allows users to connect and control the robot via mobile phones, tablets and computers via browser Web App. Supports shortcut key control such as WASD and the mouse via a PC with keyboard.
Adopts Flask lightweight web application, based on WebRTC ultra-low latency real-time transmission, using Python language and easy to extend, working seamlessly with OpenCV.
Real-time monitoring the operating status of the robot.
Supports 4G/5G expansion
Supports installing 4G/5G module for the application scenarios without WiFi.
Supports accessing Jupyter Lab via devices such as mobile phones and tablets to read the tutorials and edit the code on the web page, making development easier.
Onboard high-efficiency UPS module, supports charging and discharging at the same time to ensure continuous standby time. The 18650 batteries are not included.
Supports installing larger lithium battery set with XH2.54 interface to replace the UPS module. Please refer to the open-source drawing for the detailed internal space dimensions.
2mm thickness aluminum alloy body, durable and reliable. 80mm diameter rubber tires, excellent shock absorbing performance.
Audio driver board is designed for robot host controller, onboard USB interface, suitable for Raspberry Pi 4B / Raspberry Pi 5 and other motherboards, multi-system compatible. Adopts SSS1629A5 audio control chip, provides reliable audio input and output functions, supports USB interface communication, driver-free, plug and play. Onboard APA2068 audio amplifier chip, provides high-quality audio amplification to ensure clear and stable audio signal output. Integrated FE1.1S USB 2.0 HUB and CH340 chips for sending data from serial peripherals such as Lidar to the host controller via USB cable without occupying too many resources of the host.
Note: Pan-Tilt and Raspberry Pi 4B/5 are not included in the package.
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