This project is created in context of the lecture “Internet of Things Ecosystems” at the University of Applied Sciences Esslingen. It covers the invention of an own IoT Idea and Application from the scratch solving a real-world problem. In the design sprints the students learn about design, implementation (full-stack) and business aspects of Internet of Things applications.
The IoT Prototyping Framework (IoTPF) is a collection of tools, modules and samples with the aim to empower students and developers creating full-stack IoT prototypes in a short time period.
Idea and Application: Andreas Greisß, Dennis Ebner & Ilker Porsuk
Lecture and IoTPF: email@example.com
University of applied Sciences Esslingen 2019
Imagine you, as a student, are searching for a learning room for you and your learning group and you have to go through every floor of your highschool to find any free place for you and your learninggroup.
Every student who studies at the university knows this problem. So that the future students do not face the same problem, we approached this project.
As already described in the introduction, the students of Esslingen University are faced with the problem:
- Finding a study room is associated with a great deal of time.
- The search over several floors is frustrated and thus increases the stress level.
- The students know only the most famous rooms and unknowns often remain unused.
With Next 2 Learn you have all available rooms as well as the current free space at a glance. Our customers are able to search easily and simply for learning rooms, laboratories and lecture rooms. With our solution, we want to count persons who enter or leave the room. Our web-based customer interface with Losant should show the current number of people in the room.
- Public rooms
115 students of Esslingen University were interviewed via various communication channels (e.g. forwarding of the survey via WhatsApp, personal survey including user tests).
The survey showed:
- 80% of the surveyed students learn at the university.
- 91% of the students would like to be up to date about the available rooms.
- 89% of the surveyed students would use our web app (Next 2 Learn).
We use two infrared sensors to detect motions between a door and count the people who enter or leave the room. Before we can count people in a room, we have to measure the distance without someone who goes through the door. After this we need the distance between one sensor to the closed door. So we can differentiate between a closed and a opened door.
We publish the number of people in the room to the particle cloud and present this information over a webhook on a losant dashboard.