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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 PT PI4B AI Kit Acce (EU)
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RaspRover is a 4-wheel AI robot designed for Raspberry Pi 4B mini computers. With its compact size and powerful resources, it offers extensive creative possibilities for technology enthusiasts, DIYers, and beginner programmers. The robot meets the challenges of complex applications and functions, inspiring your creativity.
RaspRover is compatible with Raspberry Pi 4B, offering powerful computational performance for advanced projects and exploration in the field of artificial intelligence (AI). Featuring a dual-controller setup, the robot ensures efficient collaboration and enhanced operational performance. The main controller based on Raspberry Pi handles AI functions and advanced planning, enabling complex task execution and process automation. The secondary controller ESP32 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 detailed imaging and visual analysis tasks. With a Pan-Tilt module, RaspRover offers full flexibility with 360° range of motion, enabling precise object tracking and panoramic environment scanning. The servos used in the Pan-Tilt module provide exceptionally smooth and responsive movements, significantly enhancing user experience, similar to advanced FPS games.
The integrated camera offers advanced visual analysis capabilities that support a variety of computer vision tasks. Using a lightweight Flask web application, the robot enables real-time high-definition video streaming and digital zooming. All functionalities are based on Python, allowing easy expansion and integration with the OpenCV library. The robot supports color recognition, automatic tracking, and one-button control of Pan-Tilt and LED lighting. These features can be extended with additional options.
Using OpenCV-based face recognition, the robot can automatically capture photos or record videos upon detecting a face. RaspRover also supports intelligent object recognition, identifying common objects using default models. Combining OpenCV and MediaPipe technology, the robot allows gesture control, facilitating interaction with Pan-Tilt and LED lighting. Additionally, MediaPipe, an open-source tool from Google, enables complex video processing tasks such as face recognition, pose detection, and line tracking for autonomous driving. The visual line tracking function integrated with computer vision demonstration helps users better understand autonomous driving algorithms through simple disassembly.
RaspRover can be controlled via a web browser without the need for additional application installation. Simply open a browser and start your adventure. The robot supports real-time video streaming and offers many advanced computer vision functionalities. These include object detection, tracking, targeting, as well as face and gesture recognition. This makes RaspRover an ideal platform for realizing your ideas and creativity. Remote control capability through a web application without the need for additional software downloads enhances its versatility and ease of use. RaspRover supports real-time high-resolution video transmission, allowing detailed environment 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.
The latest version of the Raspberry Pi series: Raspberry Pi 4 model B with quad-core SoC (Broadcom BCM2711, Cortex-A72) working at 1.5GHz, 2GB RAM LPDDR4, Broadcom VideoCore VI.
The long-awaited Raspberry Pi 4 model B with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5GHz, 4 GB LPDDR4 RAM and the Broadcom VideoCore VI graphics chip
18650 Li-Ion battery with a nominal voltage of 3.7V and a capacity of 3000mAh. Sony US18650VTC6
The long-awaited Raspberry Pi 4 model B with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5GHz, 8 GB LPDDR4 RAM and the Broadcom VideoCore VI graphics chip
Li-Ion battery type 18650 with a nominal voltage of 3.7 V and a capacity of 2500 mAh. Samsung INR18650-25R
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