Skip to content

COVID guideline enforcing drones research project. Control drone movement through computer, fetch images from drone, and run YOLOv3 weights on drone, using pyparrot and darknet.

des1gnerw1tch/droneVisionAndControl

Repository files navigation

COVID Guideline Enforcing Drones

Autonomous drone that can patrol an area and record whether people are wearing masks and social distancing.

Control drone movement through computer, fetch images from drone, and run YOLOv3 weights on drone, using pyparrot and darknet.

Main script : closeIntoPersonAndTest.py

Figure 1: Detection of facemask, head, and person. example1

Figure 2: Social distancing detector- violations are boxed in red. socialDistancingFig07-09-2021 12-15-47

Installation Instructions can be found at https://docs.google.com/document/d/1tQQoMOu6sWZtlmd42FpD5kTPJYxD5xgOobKuxoeNA40/edit?usp=sharing

Full paper: Covid_Drone_Research_Writeup.pdf

Created by Zachary Walker-Liang and Samantha Wong.

About

COVID guideline enforcing drones research project. Control drone movement through computer, fetch images from drone, and run YOLOv3 weights on drone, using pyparrot and darknet.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages