Announcement of data collection in Väre building: Indoor occupancy detection using machine learning methods and CO2 sensors
In some of Otaniementie 14 rooms, data on the number of occupants will be collected for research purposes from 15.4.2024 to 27.9.2024. This data is gathered with machine vision sensors. The sensors do not record images and do not identify individual persons. The sensors only record the quantity of people entering and exiting the room. A notification of the data collection will also be placed near the entrances of the rooms included in the study. The rooms included in the study are all meeting rooms.
The collected data will be used in a study where the occupancy of the room is modeled using a carbon dioxide sensor and machine learning. The carbon dioxide sensor can estimate the number of people in the room. However, to train a machine learning model for this purpose and to check the model's accuracy, an accurate count of occupants in the space is needed. In this case, it is obtained through an occupant counting sensor. If the number of occupants can be estimated anonymously using the carbon dioxide sensor data, it can be used, among other things, to save energy in air conditioning and heating.
Read more news
Apply now: Study Wellbeing Innovation in Tongji Summer School in China this August
European students in design, engineering, architecture and business are invited to join a cross-cultural learning experience bringing European and Chinese students together at Tongji University, one of China’s leading universities in Shanghai.
Share your views on language use at Aalto
The survey opens for students and personnel at the end of April—keep an eye on your Aalto emailSummer school scholarship: An opportunity to study in the French Alps from June 29 to July 4, 2026!
Students from Aalto University’s ELEC, ENG and SCI schools have a unique opportunity to participate in the ‘Mountains in a changing world’ summer school at Université Grenoble Alpes in France.