Occupancy Monitoring

Occupancy monitoring tracks the occupany of different locations and supports automated decision-making to best utilize space. They are most commonly used in shared working spaces such as hot desks and meetings rooms but are also used for other defined spaces such as store aisles and restrooms. Passive proximity sensors detect the presence of people in the defined area and send information to the system. The sensors typically use infrared or beacon technologies. Imaging systems can also be used to gain more sophisticated data about the type of occupant, such as gender or age. This information can also be made available to management to help them better plan their capacity or to inform others of space availability.

Using occupancy tracking allows organizations to find opportunities to improve the workplace and make data-driven decisions. A comprehensive space management strategy enables assessing the current needs of the workplace, forecasting future needs and exposing effects on profitability. When an organization has insight into occupancy data, it can see which spaces are in high demand and which are rarely used. Knowing the location of underutilized space allows determining if the area should be utilized differently or if a new workspace design would make it more attractive to employees. At the same time, occupancy tracking prevents decreasing available workspace too much and potentially compromising employee productivity and comfort.

Facility Managers: Facility managers use occupancy monitoring data to optimize space utilization, plan maintenance schedules, and ensure compliance with building codes and regulations. By monitoring occupancy trends and patterns, facility managers can make informed decisions about space planning and facility management strategies.

Operations Teams: Operations teams rely on occupancy monitoring to manage building operations, security, and maintenance activities. By monitoring occupancy levels in real-time, operations teams can respond quickly to changing conditions, address security concerns, and optimize building services to meet the needs of occupants.

Sensor Technology: Occupancy monitoring systems use a variety of sensor technologies, including passive infrared (PIR) sensors, ultrasonic sensors, or computer vision cameras, to detect and track occupants within a space. These sensors capture data about occupancy levels, movement patterns, and dwell times, providing valuable insights for space management.

Data Analytics: Occupancy monitoring systems leverage data analytics techniques, such as machine learning algorithms or statistical analysis, to extract meaningful insights from raw occupancy data. By analyzing patterns and trends in occupancy data, businesses can identify opportunities for optimization, improve space utilization, and enhance the occupant experience.

Occupancy Data: Occupancy monitoring systems collect data from sensors, cameras, or IoT devices installed in physical spaces. This data includes information about the number of people present in a space, their location, and the duration of their stay. By analyzing occupancy data over time, businesses can identify trends, peak usage periods, and areas for improvement.

Environmental Data: Occupancy monitoring systems may also collect environmental data, such as temperature, humidity, or air quality, to provide additional context for space utilization. This data helps businesses understand how environmental factors impact occupancy levels and can inform decisions about building management and comfort.

Sensor Placement: Occupancy monitoring systems require careful placement of sensors or cameras to ensure accurate and reliable data collection. Sensors may be installed at entry points, key areas within a space, or distributed throughout a building to capture occupancy levels across different zones.

Integration with IT Infrastructure: Occupancy monitoring systems are integrated with existing IT infrastructure, such as building management systems or cloud platforms, to collect, process, and analyze occupancy data. This integration requires coordination between IT teams, facilities management, and third-party vendors to ensure compatibility and data security.