Building a (semi) Autonomous Drone with Python
summary
A working prototype uses a Parrot AR Drone and a nodejs server with a Python client to stream camera frames, run OpenCV and a Python image wrapper, and send simple flight commands. It detects red via an RGB mask, computes the center-of-mass red-mask to produce an X/Y vector, and issues thrust adjustments; cost is about $200 and frame latency forces lower resolution. Demos follow a red cloth with Python + node.js control and show mixed but repeatable autonomous tracking.
AI-written summary · about
chapters (9)
- 0:00Semi-autonomous drone project
- 1:09Drone hardware and setup
- 2:39First flight demo with Python
- 4:22Computer vision for automation
- 8:30Face detection with OpenCV
- 13:57Red object tracking and control
- 19:07Live autonomous flight demo
- 23:12Flight results and challenges
- 25:20Q&A on tracking speed
related talks
33mFlying by the seat of our pants - our journey of teaching python using drones
23mA Drone Flew Over the Python's Nest
27mExplaining an Autonomous Vehicle System with Python
21mLeveraging Python for Real-Time Image processing
23mBirding with Python and Machine Learning
33mPython vs Orangutan
31mwith modern_peripherals: Python and Flask
36m"Lights, camera, AI!" - Automated sports videography
