Yahboom Python Programming Robot for Raspberry-Pi Compute Module 4 Two-Wheeled AI Vision Recognition Self-Balancing Car Bionic Built-in IMU,Provide AI

Yahboom Python Programming Robot for Raspberry-Pi Compute Module 4 Two-Wheeled AI Vision Recognition Self-Balancing Car Bionic Built-in IMU,Provide AI

【Desktop robot】Rider-Pi has built-in AI module, based on CM4 module, supports Python programming; supports AI visual recognition interaction technology; equipped with 2.0-inch IPS display and 5-megapixel camera, with excellent visual and voice interaction capabilities. Built-in IMU sensor, real-time adjustment of robot posture to adapt to various terrains. 【AI visual function】Rider-Pi supports gesture control, imitation of human body movements, face color object tracking and recognition. APP integrates multiple action groups, and realizes forward and backward, rotation and lifting through APP control. Dual APP (WiFi version (with image transmission) and Bluetooth version, both support IOS and Android. 【High-quality material motion joint】Made of ABS material, it is strong, light and not easy to rust. It adopts a dual wheel foot motion joint design, the motor and wheels are integrated into one, and the connecting rod wheel foot structure enables the robot to move smoothly on various terrains. There are anti-dumping designs at the front and back to protect Rider-Pi from damage. 【Voice interaction】Dual MEMS digital microphones and speakers, equipped with ChatGPT, provide interface data routines, can realize image recognition, voice recognition and natural language processing, and bring users a more intelligent interactive experience. (Note: ChatGPT needs to be paid) 【What can you learn?】Yahboom provides voice interaction gameplay, motion control, Open CV and AI vision case data, open Python code, and provides 3D models for users to DIY. Provide Chinese and English information. If you encounter problems during use, please contact Yahboom or technical support in time. Rider-Pi is a desktop wheeled robot with a built-in inertial measurement unit (IMU) that can adjust joint angles in real time to adapt to different terrain obstacles. Based on the Raspberry-Pi CM4 module and programmed in Python, it supports a series of AI functions such as face recognition, color tracking/following, QR code motion control, object detection, license plate recognition, gesture following, etc. It integrates the ChatGPT model and supports a variety of large model applications such as voice question and answer, voice control, text-to-picture, and picture-to-text. It provides a wealth of learning materials to help you quickly play with the AI ​​wheeled robot.