Sensors and cameras for detecting people's movements must work in rooms with low ceilings. Solar radiation also made planning of sensor positions difficult. The exact recognition of people in a variety of combinations posed a particular challenge. The software has to accurately recognise a wide variety of situations, e.g. people in wheelchairs with or without pushers, supported people and also children.
How do people behave in spaces and how can a
building be optimised with this in mind?
Challenges
Data from different camera systems is processed with the help of
artificial intelligence. This makes it possible to reliably recognise people and their movements
Solutions
A combination of different cameras and sensor types makes it possible to accurately recognise persons: 360° cameras for larger
surfaces, a directional dome camera for identifying
mask wearers and stereo cameras for capturing movement.
The combined data is then processed using artificial intelligence and visualised on dashboards.
Digital Building
