PRE2023 3 Group10: Difference between revisions

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|Firefighting robot with deep learning and machine vision
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|An autonomous firefighting robot
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|Dimitrios Adaos
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|Meeting (1h), Brainstorm (0.5h)
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|Wiliam Dokov
|Wiliam Dokov
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|Meeting (1h), Brainstorm (0.5h)
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|Kamiel Muller
|Kamiel Muller
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|Georgi Nihrizov
|Georgi Nihrizov
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|Meeting (1h), Brainstorm (0.5h)
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|Twan Verhagen
|Twan Verhagen
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|Meeting (1h), Brainstorm (0.5h)
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Revision as of 10:07, 16 February 2024

Robot for saving victims in a fire

Group members
Name Student number Email Study
Dimitrios Adaos 1712926 d.adaos@student.tue.nl Computer Science and Engineering
Wiliam Dokov 1666037 w.w.dokov@student.tue.nl Computer Science and Engineering
Kwan Wa Lam 1608681 k.w.lam@student.tue.nl Psychology and Technology
Kamiel Muller 1825941 k.a.muller@student.tue.nl Chemical Engineering and Chemistry
Georgi Nihrizov 1693395 g.nihrizov@student.tue.nl Computer Science and Engineering
Twan Verhagen 1832735 t.verhagen@student.tue.nl Computer Science and Engineering

Research papers

  1. A Victims Detection Approach for Burning Building Sites Using Convolutional Neural Networks https://ieeexplore.ieee.org/abstract/document/9031275
Title Summary Link
A Victims Detection Approach for Burning Building Sites Using Convolutional Neural Networks They trained a convolutional neural network to detect people and pets in thermal IR, images. They gathered their own dataset to train the network. The network results were pretty accurate. https://ieeexplore.ieee.org/abstract/document/9031275
Early Warning Embedded System of Dangerous Temperature Using Single exponential smoothing for Firefighters Safety Proposes to add a temperature sensor to a firefighter's suit which will warn firefighters that they are in a very hot place > 200 C. https://shorturl.at/bcGJ2
A method to accelerate the rescue of fire-stricken victims https://www.sciencedirect.com/science/article/pii/S095741742302688X
The role of robots in firefighting https://www.emerald.com/insight/content/doi/10.1108/IR-10-2020-0222/full/html
Firefighting robot with deep learning and machine vision
An autonomous firefighting robot

Appendix

Appendix 1; Logbook

Logbook
Week Name Hours spent Total hours
1 Dimitrios Adaos Meeting (1h), Brainstorm (0.5h)
Wiliam Dokov Meeting (1h), Brainstorm (0.5h)
Kwan Wa Lam Meeting (1h), Brainstorm (0.5h)
Kamiel Muller Meeting (1h), Brainstorm (0.5h)
Georgi Nihrizov Meeting (1h), Brainstorm (0.5h)
Twan Verhagen Meeting (1h), Brainstorm (0.5h)
2 Dimitrios Adaos
Wiliam Dokov
Kwan Wa Lam
Kamiel Muller
Georgi Nihrizov
Twan Verhagen
3 Dimitrios Adaos
Wiliam Dokov
Kwan Wa Lam
Kamiel Muller
Georgi Nihrizov
Twan Verhagen
4 Dimitrios Adaos
Wiliam Dokov
Kwan Wa Lam
Kamiel Muller
Georgi Nihrizov
Twan Verhagen
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