PRE2018 3 Group17: Difference between revisions
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== Ideas == | |||
* Omnidirectional 3D printer | |||
* Breakfast bot | |||
* Robot to remove microplastics from water | |||
* Clothes folding robot | |||
* Building guidance robot | |||
* Disaster observation drones | |||
== Disaster observation using a network of drones == | == Disaster observation using a network of drones == | ||
Revision as of 16:11, 8 February 2019
Group members
| Group Members | Student nr. |
| Diederik Geertsen | 1256521 |
| Cornelis Peter Hiemstra | 0958497 |
| Joël Peeters | 0939193 |
| Benn Proper | 0959190 |
| Laila Zouhair | 1260529 |
Ideas
- Omnidirectional 3D printer
- Breakfast bot
- Robot to remove microplastics from water
- Clothes folding robot
- Building guidance robot
- Disaster observation drones
Disaster observation using a network of drones
Problem statement and objectives
The search for survivors after disasters such as floods and earthquakes is an extremely time sensitive matter. Fast localisation and retrieval of victims is essential for increasing surviving chances, which creates an obvious application for automated systems. The main goal of the design is to be able to identify the high priority zones following a natural disaster. These high priority zones could for example be the area with the highest density of survivors, or locations which are the easiest to reach for emergency services. The system should also plot the most efficient and safest route that can then be used by emergency services to quickly reach the survivors. This solution should ideally be deployed as fast as possible to provide a detailed overview of the situation the first moments after disaster struck.