Workplace Occupancy

Workplace Occupancy

SPACE OCCUPANCY

In general, Space Occupancy refers to the measure of individuals in a space. It is also a measure of how many people use a space. Space usage has always been a priority for facility managers. Having a comprehensive understanding of space occupancy allows for improved strategic decision making, identification of opportunities for cost reduction, simplified space planning and validation of employee needs.
Workplace Occupancy

 

Workplace Occupancy

 

 

 
To better understand office occupancy on the basis of extensive data collected, the sensor can discover both the most and less frequently used areas to optimize the layout, making the office more occupant-friendly and further improving resource allocation.
Based on real-time data, Milesight workplace occupancy sensor allows for effective workplace utilization through usage management by detecting the presence in a meeting room, which is useful for last-minute bookings. It can also detect unused but reserved rooms and release the resource allowing other accesses if needed. Moreover, it could generate a true understanding of meeting room usage through extensive reporting.
 
With custom detection regions, any workstation is under control. The status of being occupied or vacant is clear to administrative staff. No extra labor effort is needed for complicated counting and statistics.

Counting the number of people in and out of a room or even the whole workplace gives a full picture of the density for specific areas. With accurate people counting data, further data-oriented management can be made, for example, managing the air quality, heating and lighting costs, to achieve an optimal level and the most timely information will be gained without unnecessary wasting of energy.

 

 

LoRaWAN® Wireless Deployment

Wireless deployment with low power consumption and long-distance transmission.

Up to 98% Accuracy

Embedded AI algorithm realizes accurately counting.

100% Anonymous Detection

The GDPR-compliant sensor transmits data with no personally identifiable information involved.

Large Detection Area.

It covers a wide area of 78 square meters.

16 Custom Detection Regions

Up to 16 individual regions can be set for precise detection.

Bi-Directional People Counting

The ultra-high 98% recognition rate gets more accurate and objective information.

Milesight D2D Communication

It allows for easily communicate between Milesight LoRaWAN® devices within 1 second.

 

On top of the workplace occupancy

The AI Workplace Occupancy Sensor completely grasps workplace occupancy information via people counting. By getting extensive data, it forms a valuable information network of the workplace, which greatly promotes data-oriented management. The entrance, exit, workstation status, meeting room status, etc, and everything related can be turned into information quickly accessed for further strategic decision making.

 

Get Accurate Information Timely

One of the merits of intelligent devices instead of the labor force lies in quick response. Free from being troubled by information delay, the utilization of workplace like meeting rooms can be easily got. Furthermore, the utilizations supposed to be unorganized is now able to be planned ahead of time.

Save Energy

The energy usage can be optimized according to the actual workplace utilization level to save costs of Air conditioning, heating and lighting, etc. It enables users to take the advantage of the statistics for avoiding energy wasting out of the time periods of arriving and leaving. Moreover, with exclusive Milesight D2D communication, perfect linkage among Milesight devices controls ON/OFF automatically to save energy intelligently.

 

Improve Workplace Layout

Discover the most used and crowded areas in the workplace through the obtained data to optimize the workplace layout. If possible, the management staff can change the design to make full use of the preferred areas, realizing better workplace utilization.

Reasonably Allocate Resource

Even distribution will lead to some uneven distribution since actual utilization is different from what it suppose to be. Therefore, adjusting resource allocation on the basis of statistics will make workplace utilization more scientific and conform to reality.

 

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