Project  #   Project  Name   Project  Guide   Project  Sponsor  P15230   Autonomous  

Quadracopter  Leo  Farnand   RIT  

Peter Webster, Philip Tifone, Evan Glen, Alyssa Colyette, James Mussi, Andrew Asante    Project  Scope:    Our  team  was  tasked  by  RIT  to  design  and  build  a  platform  to  demonstrate  the  ability  of  an  autonomous  craft  to  successfully  detect  objects  and  navigate  through  a  3d  maze.  This  project  focuses  heavily  on  computer  vision  in  order  to  detect  objects  and  successfully  navigate  through  a  maze.  Our  team  is  also  designing  the  imagine  RIT  competition  for  this  year.            Revision #: 1 Customer Rqmt. # Importance Description

CR1 3 Full Autonomous Capabilities CR2 3 Can Take Pictures CR3 3 Reasonable Battery Life CR4 3 Able to Carry Load CR5 2 Portable CR6 3 Must have on-board imaging sensors CR7 3 Obstacle avoidance CR8 3 Safe for bystanders and users CR9 3 Stay within given budget

CR10 3 Facial recognition CR11 3 Durable CR12 3 Able to drop payload at a specific destination

                           

Revision #:

rqmt. # Importance Source Function Engr. Requirement (metric) Unit of Measure Marginal Value

Ideal Value Comments/Status Test (how are you going to verify

satisfaction) S1 3 CR1 Flight Craft Flies completely Autonomously Yes/No Yes Craft is able to complete course S2 3 CR2 Imaging Craft can takes still images during flight mp resolution 3-16 mp 12mp as much as the avg cell phone Craft captures quality image S3 3 CR2 Imaging Craft can store still images during flight MB 100-1012 MB > 1012MB enough to store flight duration video Craft holds enough data for flight S4 3 CR3 Flight Time, Battery Craft Flies Duration of Function Minutes 6 – 10 10 Last long enough to navigate maze Test flights S5 3 CR4 Payload Can fly with additional payload Grams 80-170 g 170 Payload is a hockey puck Craft is able S6 2 CR5 Design Portable Yes/No Yes Dependent on frame Craft can be carried by one person S7 3 CR6 Detection On-board Range Sensing meters 0.5-2 m 2 m Lidar horizontal, sonar vertical Test sensors for accuracy, ect, S8 3 CR7 Flight, Detection Obstacle avoidance Yes/No Yes Avoid random obstacles in path Test flights S9 3 CR8 Safety Safe for Users and Bystanders Yes/No Yes Test rotor shields, test algorithms

S10 3 CR9 Budget, Design Stay within budget Dollars $1,000.00 $500-600 S11 3 CR10 Imaging Facial Recognition % [marginal error] 0-20 % <5% Craft is able to recog gen faces S12 3 CR11 Design Craft will not break on impact Yes/No Yes Crash tests withstandability S13 3 CR12 Flight, Payload Craft can drop payload at specific destination meters [marginal error] 0.1-0.25 m 0.1 m Drop hockey puck at end of maze Craft is able to target net

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 Morph  Chart  

   Concept  Selection: