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AI Workplace Occupancy Sensor

The main difference between an occupancy sensor and a motion sensor is their purpose and sensitivity.

• Occupancy Sensors: Specifically designed to detect the presence of people in a particular space. More than movement, they aim to detect whether a space is continuously occupied, even if there's minimal movement. These sensors may use dual-technology approaches to reduce false positives and improve detection accuracy in static scenarios.
• Motion Sensors: Detect physical movement within a certain range. They sense a change in position or movement of objects within the sensor's field of view. These sensors primarily use PIR (Passive Infrared), which detects body heat, and sometimes ultrasonic technology, which detects sound waves bouncing off moving objects.

Occupancy sensors are suitable for a variety of workplaces where monitoring space utilization and optimizing energy efficiency are important. Here are some examples:

• Private and Open-plan Offices: To manage lighting, HVAC, and space utilization based on real-time occupancy data.
• Conference Rooms and Meeting Spaces: To detect presence for effective booking and usage management.
• Flexible Workplaces: To track desk or seat occupancy for better resource allocation and facility management.
• Restrooms: To ensure efficient cleaning schedules based on actual usage data and improve space efficiency.

They are also commonly used in educational institutions (e.g. classrooms, libraries, and hallways) and healthcare facilities (e.g. patient rooms, exam rooms, and waiting areas).

Occupancy sensors can provide valuable data insights that reveal how office spaces are used. This data is especially useful for facilities management, workspace optimization, and strategic planning. Here are some key insights:

• Space Utilization: Workplace occupancy sensors can identify the most and least frequently used areas, allowing for better layout planning and resource allocation.
• Peak Usage Times: Data on when the office is most and least occupied can help manage energy consumption and schedule maintenance tasks more effectively.
• Room Booking and Meeting Patterns: Occupancy sensors detect unused but reserved rooms to prevent ghost meetings and support room management decisions.
• In-office Presence and Desk Allocation: With hybrid work policies, occupancy sensors track in-office attendance patterns to better support activity-based work zones.
• Traffic Flow and Movement Patterns: Occupancy sensors in hallways, elevators, and entrances provide insights into how people move through the office, identifying high-traffic areas and bottlenecks for redesigning layouts or planning cleaning schedules.

Occupancy sensors can lead to significant cost savings by optimizing energy usage and improving space management. The exact savings can vary depending on the specific application and environment. In a case study involving over 4,400 units of Milesight sensors deployed across 62 commercial buildings in Canada, the energy cost savings exceeded $250,000 in just the first quarter of 2022.