Micro Vibration
Presence detected via occupant’s respiration
and heart beating micro-vibration patterns.
99% Accurate Presence Detection.
Less then 0.01% False alarm.
99%
Accuracy
0.01%
False alarm
themes
About
99.9% Accurate True
presence detection
Why does it matter?
30% of energy is wasted in commercial buildings – $200B annually (Energy Star)
30-45% of a building’s energy use is devoted to heating & cooling.
Lighting accounts for 35% of electricity bill.
75% of desktop computer electricity consumption occurs when no one is in front of the computer.
What's different?
Competition comparison
The most commonly used motion sensors are inexpensive and simple to install. Unfortunately, it becomes clueless if any large motion is not generated by the occupant. If someone is sitting down typing on the laptop at work or watching TV on a sofa or sleeping on a bed in a hotel – motion sensors (PIR) will simply not know if the occupant(s) is still in the area or not.
In recent years, companies have started work around this by putting in various “guesstimation” logic – such as turning HVAC off when no large motion is detected for more than 15 minutes. Other companies combined motion sensors with ultrasonic sensors which listens for micro-sounds (ie: breathing) to detect presence. The problem with this has been with false alarms as any micro sound – from TV, hallway footsteps, refrigerator motors, fans, etc., can all set it off. This is why systems based on these solutions are only able to offer a “20% HVAC savings” benefit.
Use Cases
Use Case 1
Hotel
On average, a hotel room is vacant for more than 14 hours a day. Knowing that the room is truly vacant can help save hotels more than 50% in energy expenses. However, knowing that same info can help streamline housekeeping tasks by being able to clean the rooms “before 12pm check out” time.
Use Case 2
Office Building
Real-time occupancy data allows office building to save energy and manage spaces efficiently throughout the floor without any inconvenience or privacy concerns of occupants. Knowing that actual usage info can also help janitorial staffs to work efficiently. Long-term data analysis can reveal how the space is utilized and help plan for improvement.
Use Case 3
Bank
When it comes to security applications, it is impossible to bypass or circumvent a sensor that can detect presence with vital signs, including heart beat. This is why Xandar Kardian’s presence detection is the perfect security sensor in all types of buildings including banks.
Use Case 4
Airport
99.9% accurate presence detection can provide security solution that is impossible to circumvent in any spaces such as cargo elevator or secure lock-down areas. It is possible to know occupancy status and dwell time in real-time even in an emergency (fire, smoke, gun / bomb threat, etc.).
Use Case 5
Prison
Continuous and autonomous monitoring of true occupancy and health status in each cell can and keep prison from escape or suicide problems.
5-month Pilot
Energy Saving
Results
* Based on 24,000 sq.ft. floor.
Energy Saving Calculation
Class A office building in downtown Toronto, Canada conducted 5-month pilot with Xandar Kardian from May 2019 to September 2019. You can see the savings occupied hours as well as unoccupied hours, and the biggest savings can be seen after business hours when individuals leave their spaces during meetings or out-of-office tasks.
Play Video
Real-time Space Utilization Data.
Unlock all the possibilities.
99% True Occupancy
Smart Building solutions start with reliable and accurate occupancy data. Detection via vital sign ensures virtually no miss detection and false rate of 0.01% or lower.
Occupant Wellness Monitoring
Know the overall stress or fatigue levels of the occupants by continuously monitoring their vital sign changes as compared to their average baseline numbers. Vital signs of individual occupants is not required to obtain “zone stress/fatigue” decisions. This info allows for automated HVAC / lighting / background music / aroma / fresh air intake controls.
People Counting
Know how many people actually use a particular shared space, such as a meeting room. Know what time of the day, what day of the week, which type of meeting room is used more or less. Powerful real-usage data provides key insight to how the space is utlized.
Get notified when a reserved meeting room space is unused for 15 minutes past the reservation time. This allows for auto-cancellation, which can make the room available again for “next in line” user.
Real-usage based janitorial services
As compared to cleaning based on “time slots”, knowing how often and how long someone has used a particular washroom or even a particular stall can provide key information for better, more efficient use of janitorial services. Obtain other data, such as estimated “paper roll” quantity with total usage + total dwell time data per occupant.
Smart co-working spaces
Know when and where certain “hot desks” are available. Get notified when a reserved seat / room is unused for more than 15 minutes.
Related Patents & Journal Publications
A New Thresholding Method for IR-UWB Radar-Based Detection Applications
Authors: X. Quan, J.W Choi, S.H. Cho
Publication Date: 2020-04
Journal publication: MDPI sensors
A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars
Authors: S.W Yoo, D.Y. Wang, D.M. Seol, C.S Lee, S.M. Chung, S.H. Cho
Publication Date: 2019-09
Journal publication: MDPI sensors
People Counting Based on an IR-UWB Radar Sensor
Sensors Journal, IEEE, DOI:10.1109/JSEN.2017.2723766, Vol.17, Issue 17, pp.5717-5727, July 5, 2017.
Authors: J.W. Choi, D.H. Yim, S.H. Cho
Publication Date: 2017-07
Journal publication: IEEE sensors
Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors
Authors: J.W. Choi, X. Quan, S.H. Cho
Publication Date: 2017-06
Journal publication: IEEE Internet of Things
Multi-Human Detection Algorithm based on an Impulse Radio Ultra-Wideband Radar System
IEEE Access, IEEE, DOI:10.1109/ACCESS.2016.2647226, Vol.4, pp.10300~10309, January 2, 2017.
Authors: J.W. Choi, S.S. Nam, S.H. Cho
Publication Date: 2017-02
Journal publication: IEEE Access