In this project the students will build a system that uses multiple types of sensors attached to a fixed position to gather data. By using machine learning the system is able to detect different events occurring within the same room (like door closing, person arriving/leaving, ...). The goal is to create a general purpose sensor with the help of machine learning, which could replace a number of simpler sensors to detect events. The project was proposed by Accenture Finland, Liquid Studio.
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Software (10/10) Haaga-Helia (HAA) |
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Design (review) (0/2) Delft University of Technology (TUD) |
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Hardware (0/2) University of Trento |
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(/) Synthetic sensor |
Haaga-Helia is leading this project. Haaga-Helia’s students are responsible for implementing the project. We hope to get some help with the hardware from the students of the University of Trento.
| Date | Task |
|---|---|
| 15/8/19 | The project will start. Student team at Haaga-Helia is formed. |
| 15/9/19 | First iteration of the project is completed and demoed to the customer. |
| 15/10/19 | Second iteration of the project is completed and demoed to the customer. |
| 15/11/19 | The students at Haaga-Helia can hopefully demo the project to students in Italy. |
| 10/12/19 | Third iteration of the project is completed and demoed. |
| 10/12/19 | Third Final version of the project is completed and demoed. The project ends. |
Haaga-Helia University of Applied Sciences.
More informationIoT Rapid-Proto Labs is a higher education network combining ICT, Industrial Design and Industrial Engineering. Cross-border student teams from Finland, the Netherlands and Italy contribute to real-life IoT business cases with the support of their teacher-coaches.
