Summary

An overview of Occuspace technology and how it all works

Occuspace uses proprietary sensor technology and machine learning algorithms to determine the number of people in buildings and smaller spaces, and provide insights about their activity.

Macro Sensors Measure Wide Areas

Occuspace employs different technologies to gather measurement data about people in spaces. One approach is intended for wide area space measurement and is based on the presence of consumer devices (smartphones, laptops, tablets, audio headphones, etc.) that people carry with them.

Macro sensors turn device signal activity into space occupancy and behavior data

Occuspace Macro sensors passively detect Bluetooth Low Energy (BLE) and WiFi signal activity in the surrounding area. The sensors detect the presence of laptops, cell phones, wearables, and other connected devices and send summary information about these signals to Occuspace's cloud. Occuspace does not actually connect to any of these devices, and no personally identifiable information (PII) is ever collected during this process ensuring a high level of privacy for consumers.

Micro Sensors Measure Conference Rooms & Other Meeting Spaces

The other approach employed by Occuspace is intended for smaller spaces and involves actively scanning the surrounding area with mmWave based sensors.

Micro sensors use mmWaves to scan and determine space occupancy and behavior data

Occuspace Micro sensors use mmWaves to scan smaller spaces and determine the occupancy from the waves that bounce back from people and objects in the vicinity. The fidelity of the sensors is sufficient to determine occupancy of the space but not to record any personally identifiable information ensuring a high level of privacy with this approach as well.

Signals Transformed Into Metrics In Our Cloud

The collected Macro and Micro signal data is analyzed in Occuspace's cloud with proprietary machine learning algorithms using extensive training data gathered over years by Occuspace. This training data calibrates the models and then the number of people for a given area is estimated and reported on a minute-by-minute basis, along with more detailed insights. Customers can access data and insights via a Web-based Customer Portal or from a REST API.