- Powered by Raspberry Pi 4B (not included in this kit) and open source software
- Supports Python programming
- Features 360 degree omnidirectional movement and field of view
- Equipped with a glowy ultrasonic sensor for obstacle avoidance
- Combines a camera and OpenCV to recognize and track items
The Hiwonder Turbopi Raspberry Pi Omnidirectional Mecanum Wheels Robot Car Kit w/ Camera, Open Source, Python for Beginners (No Raspberry Pi incl)is built on a Mecanum wheel chassis, powered by a Raspberry Pi 4B, loaded with a 120 degree wide angle camera and uses OpenCV to process images. Equipped with a RGB glowy ultrasonic sensor whose light can be adjusted, the TurboPi is able to avoid obstacles smartly. In addition, it also supports a variety of sensors to turn your creative AI ideas into reality. Abundant tutorials and Python source codes are provided to help you advance quickly into robot technology, machine vision and artificial intelligence!
The TurboPi offers 360 degrees omnidirectional movement with four omnidirectional mecanum wheels. Different movement modes (move forward, horizontally, diagonally and rotate) and excellent performance make it bold to challenge various complicated routes. It is also equipped with a 2DOF pan tilt for 360 degrees view, using two anti blocking servos that can rotate 130 degrees vertically and 180 degrees horizontally.
Is powered by the Raspberry Pi, takes OpenCV as its image processing library, adopts Jupyter Lab as its development tool, is programmed in Python3 and is armed with a 2DOF camera pan tilt and DC TT motor. It is skilled in face tracking, color tracking, QR code recognition, gesture recognition, object recognition, license plate recognition, line following and many more AI games. With OpenCV, it can track specific colors and emit light of the corresponding color and move with the object of that color. It can also track targets within its view with OpenCV and supports two tracking modes, allowing the pan tilt or the pan tilt together with the car body to move with the target. It can also cooperate with OpenCV to count fingers, allowing it to interact with you based on the number of finger, such as honking the horn, twisting and changing the color of the light.
Offers two driving modes, visual line following and following with a 4 channel line follower. Visual line following extracts a ROI area with OpenCV first, then removes noise to locate the line on a binary image and finally uses a PID algorithm to perform direction calibration. Following with a 4 channel line follower uses four infrared probes on a 4 channel line follower to detect and follow the line. Autonomous driving combines the 4 channel line follower and camera to achieve autonomous driving, with the line follower responsible for line following and the camera used to recognize traffic lights and road signs.
Offers APP control and FPV transmitted image, with Android and iOS APP available for robot remote control. Via the APP, you can control the robot in real time and switch various AI games just by one tap. It also supports LAN and WiFi direct connection modes, with the first person view transmitted to the APP interface.
The TurboPi is constructed with a hard aluminium alloy chassis to protect the core control board from shattering and shocking, and can bear bigger loads. It is equipped with high performance pan tilt servos with higher accuracy and longer service life, as well as a 120 degree wide angle camera. Its 4 channel line follower has an IIC interface, allowing the TurboPi to detect black lines without occupying the Raspberry Pi CPU. The glowy ultrasonic sensor has an IIC interface, allowing the TurboPi to detect and avoid obstacles without occupying the Raspberry Pi CPU.
