Date of Award
5-2019
Document Type
Open Access
Degree Name
Bachelor of Science
Department
Computer Engineering
Second Department
Electrical Engineering
First Advisor
Cherrice Traver
Keywords
Drone, Gesture Control, UAV, Quadcopter
Abstract
According to the statistic given by the National Law Enforcement Officers Memorial Fund, 514 police officers casualties have been attributed to gunfire in the last decade(2008-2017). It is the leading cause of death among police officers and accounts for more than a third of the total 1511 police casualties in the past decade. In this project, we want to provide a safer solution to police officers that are surveying a building for one or multiple potential dangerous personnel. We are working to design and build a gesture-controlled quadcopter that can scout ahead of the officer and provide information about the area so the officers can avoid a dangerous situation. This gestured-controlled quadcopter system will be compact and lightweight, offering greater mobility and ease-of-use over joystick-based systems. We hope that our system’s simple, intuitive design will allow a user to learn how to pilot it in less than an hour. These goals are targeted to create a system that is useful for any police officer, regardless of their technical skills.
Recommended Citation
Yang, Wenhao; Xu, Anthony; and Crawford, Kendra, "Gesture-Controlled Quadcopter System" (2019). Honors Theses. 2352.
https://digitalworks.union.edu/theses/2352
Comments
Project Site:
https://muse.union.edu/2019capstone-crawfork/