SICK launches sensor-based people-counting system

Manufacturing spaces, in the same way as public spaces, are facing issues with maximum occupancy levels to help limit the potential spread of COVID-19. In response to this, SICK has launched its PeopleCounter (PeCo) SensorApp. Using 3D LiDAR sensors, the system enables facility managers to maintain recommended occupancy levels.

Unlike the use of camera technology, the PeCo LiDAR sensor solution does not process personal information. This ensures companies can maintain any health and safety recommendations, but also respect private individuals’ data privacy concerns.

Operators of organisations in many industries can profit from a simple solution that makes it easy to safely maximise the utilisation of space and still maintain the required occupancy levels.

The PeopleCounter (PeCo) SensorApp enables anonymous data processing and differentiation of people from objects over large detection areas.

Based on the hardware of SICK’s MRS1000 3D LiDAR sensor, measurement data generates as a point cloud. The integrated PeopleCounter app identifies people using their contours. This means it only counts people above the height of 1.4 m, while objects are not counted.

Due to the four layers of the sensor, the direction of movement of a person is clearly established and the current utilisation of a defined zone can be monitored. The recorded data is output digitally to keep track of the maximum number of people allowed in a space.

The combination of several sensors makes it possible to cover even large areas with different entry and exit areas, such as shopping centres, airports or trade shows.