Raspberry Pi 5 AI Vision Robot With 360 Degree Mecanum Wheels For Python Coding Open Source Large AI Model And Clear Installation Instructions Perfect For Home Labs And Class Projects Yahboom
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$199.99
Prix de vente$300.00vous économisez 100,01
SKU: VXB0DG2PJHDN
UPC: 00193019688243
UPC: 00193019688243
Raspberry Pi 5 AI Vision Robot with 360° Mecanum wheels kit
✔️ Pi 5 driven control, 360° rolling, AI vision features, single kit
✅ Raspberry Pi 5 main control with I2C-linked robot driver board and 5V/5A PD power supply
✅ OpenCV and MediaPipe ML framework for color recognition, facial and gesture tracking
✅ 1MP USB camera, 2DOF PTZ, OLED display, infrared sensors, ultrasonic distance sensors
✅ Multiple control methods: APP, PC, remote, FPV, with Android/iOS apps for live control
✅ Rich tutorials and open-source Python code for ROS and AI vision projects
✔️ Pi 5 driven control, 360° rolling, AI vision features, single kit
Raspbot-V2 is an AI robot car kit built around the Raspberry Pi 5, featuring 360° Mecanum wheels for omnidirectional movement. It's a hands-on platform ideal for home labs and class projects to explore ROS, Python, OpenCV, and AI vision with clear installation guides.
✅ 360° omnidirectional Mecanum wheel chassis with TT motors for smooth control✅ Raspberry Pi 5 main control with I2C-linked robot driver board and 5V/5A PD power supply
✅ OpenCV and MediaPipe ML framework for color recognition, facial and gesture tracking
✅ 1MP USB camera, 2DOF PTZ, OLED display, infrared sensors, ultrasonic distance sensors
✅ Multiple control methods: APP, PC, remote, FPV, with Android/iOS apps for live control
✅ Rich tutorials and open-source Python code for ROS and AI vision projects
💡 What is a Raspberry Pi based AI vision robot used for in learning environments?
This handy platform is ideal for hands-on projects in education and robotics.
- It helps students learn ROS, Python programming and computer vision.
- It gives a practical space for AI vision experiments with OpenCV, MediaPipe, and color/face recognition.
- It's a simple, repeatable setup for prototyping autonomous movement and perception on a Raspberry Pi 5.
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