Projecte llegit
Títol: Drones against COVID-19 Propagation by Controlling Capacity in Public Spaces
Estudiants que han llegit aquest projecte:
- ASENJO CARVAJAL, ALEX (data lectura: 15-09-2021)
- Cerca aquest projecte a Bibliotècnica
Director/a: BARRADO MUXÍ, CRISTINA
Departament: DAC
Títol: Drones against COVID-19 Propagation by Controlling Capacity in Public Spaces
Data inici oferta: 15-02-2021 Data finalització oferta: 15-10-2021
Estudis d'assignació del projecte:
- MU DRONS
Tipus: Individual | |
Lloc de realització: EETAC | |
Paraules clau: | |
Real time object detection, AI, UAV, person detection | |
Descripció del contingut i pla d'activitats: | |
A drone can be deployed very fast, fly at low altitude, obtain
high-resolution images of the top view and provide very useful situation awareness to police. Moreover, this situation awareness can be enhanced by applying recent Artificial Intelligence (AI) capabilities. Deep neural networks models are current state-of-the-art solutions in object detection, including the identification of persons in many environments. |
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Overview (resum en anglès): | |
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. |