- Powered by Raspberry Pi 4B/5 controller
- Equipped with HD camera for realistic remote control
- Phone App and VNC remote desktop control
- Provide Python source code
- Not assembled. Detailed tutorials are provided
GoGoPi is an AI vision robotic vehicle kit based on Raspberry Pi. Equipped with pan-tilt of 2 degrees of freedom and HD camera, it can realize color tracking, face tracking, finger recognition, etc. GoGoPi is also loaded with RGB glowing ultrasonic which enables it to control the glowing light and avoid the obstacle intelligently.
In addition, various sensors can be installed on GoGoPi for more perception functions. It supports Python programming with detailed tutorials and is open source for your AI learning.
Features:
1) Powered by Raspberry Pi 4B/5 controller
2) HD camera is installed to catch real-time image
3) 2DOF and up to 360 degrees vision
4) Support Python programming and detailed tutorials are provided
5) Support phone App and VNC remote desktop control
6) Glowing ultrasonic sensor for precise obstacle detection and avoidance
Color Tracking:
Through OpenCV, the GoGoPi can intelligently track the target color set in the APP and light up in the corresponding color.
Obstacle Avoidance:
Equipped with glowing ultrasonic sensor, GoGoPi can detect and avoid obstacle smartly. Glowing color can be adjusted through the APP.
Finger Recognition
GoGoPi can identify the numbers of finger via OpenCV, and then interact with user, for example honking, turning, changing the light color, etc.
Remote Control:
GoGoPi supports APP remote control. The HD camera returns the FPV image to the APP, which makes the remote control more exciting and realistic.
Face Tracking:
Combining with OpenCV, GoGoPi can detect and track human face. Switch pan-tilt mode and car tracking mode via APP for flexible face tracking.
1. Android/iOS APP control
GoGoPi supports Android and iOS smart phone APP remote control. Conveniently, users can start the AI vision games through the APP.
2. Python codes
Python codes for AI vision games are open source with annotations making it convenient for AI learning.
