Our Project

About Our Project

Problem Statement

The problem we are exploring addresses drone users who experience frustration when operating their quadcopters due to their intricate control system, which often results in a less straightforward and less user-friendly operation.

Value Proposition

The versatility and the ability to program the hardware of the Field Programmable Gate Array (FPGA) gesture control system gives users a way to effortlessly operate their quadcopters. The system reduces user frustration by providing a control method that responds accurately and is not challenging to learn.

Marketing Requirements

Control System should recognize predefined hand gestures.
Control System should have a high accuracy level of recognizing hand gestures.
Control System should have a default state if no gesture is detected.
Control System should consider latency between commands to improve handling and safety of drone.
Control system should have a form of fail safe.

Engineering Requirements

Control System shall recognize at least three predefined hand gestures. (MR 1)
Up, Down, Land
Machine Learning model shall recognize gestures to a level of accuracy at least 80% at least 70% of the time. (MR 2)
Control system shall always default to hover if accuracy is below 80% accuracy (MR3
Drone shall fly at a speed of about .5 m/s +/- .1 m/s. (MR5)
Control System shall have at least one method of failsafe application (MR6)

Proposed Solution

System Overview

Software Flowchart