Effektiv närvarodetektering och närvaroräkning för optimerad lokalanvändning
Typ
Examensarbete på kandidatnivå
Bachelor Thesis
Bachelor Thesis
Program
Publicerad
Författare
Asplund, Gustaf
Dahlström, Ella
Eriksson, Oscar
Hakeskog, Lilly
Nordin, Isak
Olsson, Hugo
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This project involves creating a system for occupancy measurement and people
counting. The system has been tested in group study rooms at Chalmers University
of Technology. A customer survey has been conducted among Chalmers students. In
the survey, they rated the difficulty of finding group study rooms and what technical
solutions they are most comfortable with. In addition, they were asked what medium
that they would prefere to receive data regarding availability of group study rooms.
The project was carried out iteratively with two different testing periods using different
sensors. An occupancy sensor was created containing a PIR sensor HC-SR301
and a radar unit Micradar R60AMP1. Since the Micradar radar unit could only
measure up to two people in a room, a second prototype was developed using the
same PIR sensor and another radar unit – MinewSemi MS72SF1. During the second
testing period, up to 6 people could be counted in a group room using the radar
unit but more have not been tested.
The occupancy sensors were connected to a Raspberry Pi Pico W microprocessor
with custom embedded software. A Raspberry Pi 3A was used to provide the microprocessors
with wireless internet, and a housing was created using CAD and 3D
printing to mount the sensors in the group rooms.
A backend structure for data management and a web application that presents data
from the group rooms were also created. The web application thus shows students
which group rooms are available or in use, as well as displaying statistics on usage
over time. The statistics gathered show that the radar sensors are superior to the
PIR-sensor in people counting and occupancy measurement