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HOME2019-11-22T20:49:43+00:00

We create a next-generation occupancy detection system for smart buildings

With a nearly 50% projected increase in global energy use by 2035, most of it from fossil fuels, energy efficiency and energy conservation are becoming increasingly important. The detection of human cardiopulmonary motion with Doppler radar provides an innovative approach to overcome the problems of false trigger and dead spots in conventional sensors.

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We create a next-generation occupancy detection system for smart buildings

With a nearly 50% projected increase in global energy use by 2035, most of it from fossil fuels, energy efficiency and energy conservation are becoming increasingly important. The detection of human cardiopulmonary motion with Doppler radar provides an innovative approach to overcome the problems of false trigger and dead spots in conventional sensors.

See How It Works
Request More Info

OUR TECHNOLOGY

1

DETECTS AND COUNTS OCCUPANTS

2

AN INNOVATIVE,
LOW-COST SENSOR

3

DATA IS ANONYMOUS
AND SAFE

OUR TECHNOLOGY

1

DETECTS AND COUNTS OCCUPANTS

2

AN INNOVATIVE,
LOW-COST SENSOR

3

DATA IS ANONYMOUS
AND SAFE

WHY ADNOVIV ?

Occupancy sensors can play a major role in reducing electricity consumption. Research has shown that occupancy detectors can save up to 80% of energy used for lighting and HVAC systems in buildings, also resulting in significant financial savings. Major drawbacks of currently available sensors include high rates of false alarms and failure to detect stationary subjects. These sensors are effectively motion sensors and not true human presence sensors.

The detection of human cardiopulmonary motion with Doppler radar provides an innovative approach to overcome the problems of false trigger and dead spots in conventional occupancy sensors. True human presence can be detected using radar sensors that discern motion associated with respiration and heartbeat from nonhuman periodic motion that could otherwise trigger false positives. Such sensors can prevent false negatives by detecting heart and respiration rates and patterns in the case of stationary human subjects.

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An innovative occupancy detection technology to detect true human presence with respiration and heartbeat

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