Project description
Every academic year, students attending this course have the opportunity to implement a real-world IoT application. This year, students will implement a Smart Trash Can. In particular, students will have to place a motion sensor in a waste bin using a Raspberry Pi. Middleware-layer platforms will be used to collect the data, process the data and finally visualize them. Context-aware data modeling techniques will be leveraged to introduce advanced data processing for implementing additional functionalities to the Smart Trash Can. Finally, containerization techniques will be applied to deliver a portable and scalable Smart Trash Can.
- Each project team should consist of 2-3 members
Groups
| Group Number | Group Members | |
|---|---|---|
| 1 | Felipe REIS CAMPANHA RIBEIRO, Mateus DE BRITO GUIRARDELLO | |
| 2 | Evan COCAIN, Léna RÉMOND | |
| 3 | Mounir AMANOUZ, Ayman ORKHIS | |
| 4 | Jose Luis RATIVA MEDINA, Yujia GUO | |
| 5 | Wei LI, Peizhe LIU | |
| 6 | Heloïse HAVY, Martin TREMEAUD | |
| 7 | Igor GODINHO SOUZA BRAGA, Gustavo MELO SCHEIDT PAULINO | |
| 8 | Hugo TREBERT, Eric SÉGUIER | |
| 9 | Sacha CORPOREAU, Evans RACAT | |
| 10 | Emile GIRARD, Raphaël BACHELIER | |
| 11 | Antoine POMMIERS, Pierre FARRET |
Demonstration Schedule
| Time | Actibity | Group | Member(s) |
|---|
Protocol for project demonstration
- Your demo should last ~15 minutes for demonstrating your system in action. This can take the form of a live demo of your system in action, and perhaps something as simple as an easy-to-read logging print-out of your system’s functionality.
- We will then ask you several questions about how you designed and implemented your project. This includes showing us the code you wrote and how you partitioned the work among your group members, all of whom must be present during the demo. Your answers are expected to demonstrate that you fully understand the concept you chose to put significant effort into the design and implementation.