The City of Helsingborg is testing IoT together with Campus Helsingborg and Axis to make the city's tunnels smart and safe for pedestrians and cyclists.
There is a connection between the physical environment, crime and insecurity and it is about understanding the interaction between man and the physical environment. There is thus a need to investigate behaviors linked to crime and, by extension, to the interaction between technology and humans. With the help of IoT, the city makes its pedestrian and bicycle tunnels smart and safe together with Campus Helsingborg and Axis. As a first step, the city is testing to use the help of sensors to detect graffiti, which is common and especially in tunnels. First out as a pilot is a tunnel at Närlunda. What the sensor does is detect deviant behaviors.
Damage such as graffiti is one of several indicators of insecurity. We have investigated whether, with the help of Internet-of-Things (IoT) technology, in this case a sensor mounted in a pedestrian and bicycle tunnel, could reduce the number of graffiti in the tunnel. The aim is to investigate whether it is possible with the help of internet-of-things (IoT) technology to:
- Detect damage in the form of graffiti and in the long run be able to reduce the number of times a place is exposed to damage with the help of technology.
- Add information to the City of Helsingborg's work with joint mapping and causal analysis as a basis for a common situation picture.
After this first limited attempt, we now want to scale up and with the help of upgraded hardware with technology that can handle AI solutions, place sensors in other places to get a larger data base and thus be able to draw better conclusions about future efforts for the city's development.
A very crucial next step, is that is to continue with the study of the use of new technology linked to human integrity. The issue of responsibility and ethical criteria in an evaluation is important when the issue of supervision and integrity is discussed.
Results of the study
The study, IoT to increase security has been completed, but Campus continues to work with the test bed to continue to learn the lessons and how we can work with applied AI.
The study shows a number of interesting results. When the sensor was installed, the public showed great and positive interest.
A setting phase was used to empirically test different settings of the sensor to detect graffiti behaviors. However, it turned out during the approximately 6-month measurement period that we received many false alarms, which were due, for example, to people taking shelter in the tunnel in the rain and standing or walking slowly when using their mobile phone.
During the measurement period, two graffiti incidents occurred where the sensor detected one of them.
We see that the amount of graffiti has decreased significantly.
On the Crime Prevention Council's website, it is available published the study.