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Yahboom Raspbot V2 Robot Car Kit for Raspberry Pi 5 and K230 Camera Module with 6TOPS Equivalent Computing Power

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US$107.99 cheaper than the new price!!

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Product details

Management number 228727422 Release Date 2026/05/31 List Price US$72.00 Model Number 228727422
Category
  • Raspbot V2 with 2DOF camera PTZ, cooperate with OpenCV and MediaPipe to realize color recognition, target tracking, license plate recognition, gesture and face recognition and other functions. Using Mecanum wheels and 4-channel independent drive motors, it can easily achieve all-round flexible movement and adapt to complex terrain.
  • Include Multifunctional robot drive expansion board, supports connecting 4-channel tracking sensor, ultrasonic sensor, OLED display, RGB light bar, users can use the car in various scenarios. Combined with ROS2-Humble operating system and Python programming environment. The simple programming interface and rich sensor modules make Raspbot-V2 suitable for ROS beginners to quickly get started.
  • Yahboom K230 AI vision module, RISC-V architecture 6TOPS powerful computing power, 1GB large memory support! Plug and play support for multi-platform control, neural network acceleration engine makes image recognition and face detection one step faster, smart home/educational robots are all-round competent, making edge computing simple!
  • No need for complex deployment! Yahboom K230 module serial port directly connects to STM32/Raspberry Pi, zero threshold to start AI vision project. 6TOPS low power design, real-time target tracking, behavior analysis accurate and smooth, the first choice for e-sports/maker education/intelligent security, let creativity quickly shine into reality!
  • Whether it is the embedded vision development of K230 or the robot motion control of RASPBOT-V2, Yahboom provides a large amount of course core open source code, which is suitable for use scenarios such as course design/scientific research prototype development. We will also upgrade and update the tutorial materials from time to time.

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