RASPBOT-V2 is an AI vision robot car with a metal body bracket. It is equipped with Mecanum wheels to achieve 360 omnidirectional movement. for 5 as the main control, Python as programming language. 1MP USB camera and 2DOF PTZ, combining with Open CV image processing library and MediaPipe machine learning framework to realize color recognition, target tracking, license plate recognition, visual tracking, face recognition, gesture recognition, etc. also provide it with accessories such as 4-channel tracking, ultrasonic, OLED display, RGB light bar, and comprehensive software and hardware support, which can be used in a variety of application scenarios such as intelligent robot learning, artificial intelligence development and competition projects. Raspbot-V2 is not only suitable for individual developers and students, but also widely used in education, scientific research and projects. Surprising AI vision capabilities:With 2DOF camera PZT, cooperate with OpenCV and MediaPipe to realize color recognition, target tracking, license plate recognition, gesture and face recognition and other functions. 360 omnidirectional movement: Mecanum wheels and 4-channel drive motors, it can easily achieve all-round flexible movement and adapt to complex terrain. Support multiple accessories: Multifunctional robot drive expansion board, supports connecting 4-channel tracking sensor, ultrasonic sensor, OLED display, RGB light bar, users can use the car in scenarios. for 5 as main control: Combined with ROS2-Humble and Python programming environment. The simple programming interface and rich sensor modules make Raspbot-V2 suitable for ROS beginners to quickly get started. Colour: Black Material: plastic Note: Due to different factory batches, slightdifferences in appearance not affect use Package Contents: 1 x Raspbot V2 AI Vision Robot Car Kit Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.