Placed on – November 5, 2021

Optimizing space management

Optimizing space management

With the emergence of new office trends, such as flexible working and working from home, many spaces in buildings remain unused. This is in addition to the fact that, according to a recent report from JLL, the average worker spends only 40% of a regular workday at their desk. Another study by AECOM shows that 40% of the office space that organizations pay is empty. Because there is no insight into the occupancy, much energy and therefore costs are wasted on unused open-plan offices and meeting rooms. IoT can help improve space management.


Restructuring the office building
In a quest for a dynamic approach to workplace management, IoT and smart building technologies are answering the call. With the data collected by these systems, managers can, for example, restructure the office or rent out vacant spaces. This offers opportunities for optimization of real estate planning and building management. Think of organizing the current or a new location as optimally as possible and making it more sustainable.

Monitoring occupancy rates
What IoT delivers is an unprecedented level of insight into the use of space. Just imagine how costly and inefficient, if not impossible, to have staff manually record office occupancy data all day long. Given this challenge, facility managers find themselves missing the big picture of how their offices are being used. Presence sensors automatically record the occupancy rate of any room or even desk. By monitoring occupancy rates and associated energy consumption, you can effectively detect waste sources in your building and streamline consumption and maximize efficiency. The smart sensors communicate data to the facility manager’s dashboard, with which decisions can be made about rearranging the rooms based on actual information. It allows managers to reduce energy consumption and save costs.

Self-learning algorithms
With advanced technologies such as AI and machine learning algorithms, IoT systems are now able to autonomously integrate data from sensors with occupancy patterns and apply self-learning algorithms, with which performance can be optimized and environmental efficiency can be improved. Accurate and continuous detection of actual occupancy allows the system to use self-learning techniques and perform actions according to contextual changes. A solution that accurately measures occupancy in offices is SmartEagle.


SmartEagle sensor
SmartEagle is an occupancy sensor that provides insight into occupant behavior and space utilization. SmartEagle uses optical sensors that are trained with Machine Learning (ML) to recognize the difference between people and other objects in the room. SmartEagle provides insights to the facility manager by showing the percentage of the desks are used and which desks are occupied. These insights enable the facility manager to better organize the spaces in the building and save costs by, for example, only cleaning the desks that were used.

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