Smart Optical Sensors

trained with Machine Learning

SmartEagle uses optical sensors. The data from the different sensors are combined with each other to get an overall picture of the occupation of the space.

Artificial Intelligence has been used to do this.

The optical sensors register images, but do not store them in a database. The visual data is directly coded thanks to Machine Learning (read: It is a human, laptop, telephone or something else) and then only this data is put in the database. Identification of a specific person is not possible based on these data.

SmartEagle, is a highly advanced facility management sensing solution which provides insight into occupant behavior and space utilization.

Trained with Machine Learning

SmartEagle’s software has been trained by Machine Learning (ML) to recognize people, coffee cups, desks, laptops and plants, among others. It makes as much use as possible of existing (public) data files and existing ML models, because this improves the transparency and maintainability of the software.

On location, the model will be further adjusted to the specific environment, for example taking the dimensions of the space into account to determine the distances between people.

Disstance sensor

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Two Main Applications

for SmartEagle

A cloud based API is available to realize the interface to the 2 main applications for the SmartEagle system: A dashboard for the facility manager and an app for users. Both applications use the actual data as measured real time and reliably by the SmartEagle sensing system.

There are several open interfaces available for integration with your specific facility management or workspace find system. Or we can develop a specific interface with you.

With SmartEagle, regular facility operations like cleaning, heating, refurbishing can be based on actual usage per workplace.

SmartEagle helps you to find specific workspaces.

Real time data

visualized in both apps

The facility management dashboard stores and visualized data over time. For example, the dashboard shows real time and historical office occupancy to show which rooms are crowded and which rooms are not used. The facility manager can use these insights to better organize the spaces in the office and create a better environment for his or her employees.

The dashboard for the employees can help to find an available workplace quickly, see how many people are in a space and get notified when they are not keeping their distance from others.

Sensor Stitching

for workspaces coverage optimization

A cloud based API is available to realize the interface to the 2 main applications for the SmartEagle system: A dashboard for the facility manager and an app for users. Both applications use the actual data as measured real time and reliably by the SmartEagle sensing system.

There are several open interfaces available for integration with your specific facility management or workspace find system. Or we can develop a specific interface with you.

Sensor Stitching for workspaces coverage optimization

Privacy

by Design

SmartEagle has advanced on-board analytics. It contains a processing unit with AI machine learning software to calculate the real time occupancy accurately on the device itself.

Only the occupancy (meta)data of workspaces and distance between people in the office is shared. Person identities are not determined and can therefore not be shared. Result is, the privacy of individual employees is protected.

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