UPCommons està en procés de migració del dia 10 fins al 14 Juliol. L’autentificació està deshabilitada per evitar canvis durant aquesta migració.
Drones against COVID-19 propagation by controlling capacity in public spaces

View/Open
Cita com:
hdl:2117/352862
Author's e-mailalexasenj
gmail.com

Document typeMaster thesis
Date2021-09-15
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This project proposes the use of drones by law enforcement agents to fight against the COVID-19 pandemic. The main objective of the project is to allow the enforcement agents to control the capacity of potentially crowded public open places as beaches during summer or sport events. To do so, an Android application has been developed to work in conjunction with DJI drones so agents can easily deploy the system wherever necessary. Tasks to perform along the project are to analyse and select the best AI object detection algorithm. Then, using transfer learning, improve the model so it is able to detect people using top view images taken by the drone and also to detect a new object: crowd. Additionally, there are some restrictions as the need of hand-held device execution and perform the detection in real-time. Last but not least, in accordance with the General Data Protection Regulation (GDPR), persons¿ privacy will be ensured during the whole process by applying image blurring. The resulting system will facilitate the fast agents' action in preventing the spreading of the virus.
SubjectsComputer vision in medicine, Medicina -- Recursos d'informació electrònics, Avions no tripulats -- Equip electrònic
DegreeMÀSTER UNIVERSITARI EN APLICACIONS I TECNOLOGIES PER ALS SISTEMES AERIS NO TRIPULATS (DRONS) (Pla 2017)
Files | Description | Size | Format | View |
---|---|---|---|---|
memoria.pdf | 2,691Mb | View/Open |