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Projecte llegit

Títol: Human Detection in Real Time with Thermal Camera using Drones


Estudiants que han llegit aquest projecte:


Director/a: SALAMÍ SAN JUAN, ESTHER

Departament: DAC

Títol: Human Detection in Real Time with Thermal Camera using Drones

Data inici oferta: 12-02-2022     Data finalització oferta: 12-10-2022



Estudis d'assignació del projecte:
    MU DRONS
Tipus: Individual
 
Lloc de realització: Fora UPC    
 
        Supervisor/a extern: Daniel Bertinelli Mate
        Institució/Empresa: FMIC
        Titulació del Director/a: Aerospace Engineer
 
Paraules clau:
drone, UAV, RPAS, UAS, georeferencing, Deep Learning, Search and Rescue
 
Descripció del contingut i pla d'activitats:
The objective of the project is to be able to find people in the
Collserola area using the thermal camera of a Drone in real time.

It consists of developing a software where, through Deep Learning
technology, an algorithm will be trained using YOLO with real
images of people visualized with a thermal camera, so that people
can finally be detected using a thermal camera in real time.

In addition, all the necessary permits to carry out the flight
missions in a completely legal way will be documented and
explained, as well as the necessary steps to request said
permits.

The student will work full time doing the Final Master's Project.

 
Overview (resum en anglès):
We currently live in a world where technology predominates and advances very quickly,
developing applications and devices that help us in daily life to improve our lives and solve
everyday problems.

One of these technologies that are in full development and evolution are the Drones, or
also called RPAS (Remotely Piloted Aircraft System). These systems are unmanned aerial
vehicles that offer us infinity applications to cover these needs and problems that we have
on a daily basis. On the other hand, another technology that is in full development and that
has been seen to have great potential for developing applications is Artificial Intelligence
(AI). To quickly define AI, we say that it is the intelligence that humans develop with body,
brain and mind but expressed by a machine, processor and software.

Thanks to the fact that Drones can fly over places where humans cannot reach, through
their cameras we can see what is in those areas, so one of the most useful applications in
Drones is Search and Rescue operations. The main focus of this project is to merge RPAS
with AI to develope a Search and Rescue application.

For this, an executable software has been created for any computer, which will allow to
detect people lost in the forest or other places, through a video, either through a Streaming
on Youtube or a video saved locally, allowing detection both in real time as well as in
deferred time, making the detection done by the machine and the human being able to do
other functions while the search is done with the Drone.

The objective is to use both, the thermal and visual cameras of a Drone, to record a video
or stream the image and send it to the software so that, through Artificial Intelligence, if it
finds a person, it detects the human and an alarm sounds.

The software has been developed in Python, an open source, cross-platform programming
language that can be used for web development, software creation, and data processing.
This language is truly useful since it is one of the most used in the world of programming,
thus there are multiple libraries, as OpenCV, created by open source users that have allowed
the development of this human detection software.

To develop the program, it has been necessary to train the machine with images of people.
These images have been obtained with real flights in the area of Collserola, Barcelona.
This area is close to the airport of Barcelona El Prat, so permissions and coordination are
needed to be able to fly completely legally. For this reason, this project has also included
all the documentation and legal part necessary to be able to fly in the Barcelona area.


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