Ivani NPS™ Suite
Buildings aren’t smart unless they can respond to the presence of people inside. For buildings to respond, they need Advanced Occupancy data.
Sensing™ Technology Suite
Network Presence Sensing™ (NPS™) technology is a patented set of custom firmware and software packages that turn standard wireless communication devices into advanced occupancy sensing systems without adding to or changing their hardware. NPS™ technology allows commercially available wireless communication systems to derive information about human activity in a space using network diagnostic data.
NPS™ has sometimes been referred to as a “sensorless” sensor technology because it doesn’t rely on any new sensor hardware such as cameras, microphones, or other privacy-invading hardware and doesn’t track devices like phones, beacons or tags. We simply leverage human interaction with the RF environment to provide our partners with presence information to enable use cases like autonomous lighting control, advanced security, optimized HVAC, and more.
NPS is a flexible platform technology that provides a wide array of advanced occupancy data without the use of invasive devices like cameras or microphones. This data can be in the form of real-time data used to increase efficiency, convenience, and safety by optimizing building systems like hotel operations, lighting control, security, and HVAC. The data can also be batch-processed for historical snapshot views of the space to inform ongoing space utilization and capital expenditure decisions.
The bottom line is that NPS enables truly intelligent buildings. Intelligent buildings are healthier, safer, more productive and sustainable.
How It Works
Network Presence Sensing™ uses wireless communications from standard protocols like Bluetooth®, Zigbee, Wi-Fi, and others to detect the presence of humans. These radio chips provide network diagnostic information from each wireless transmission which is typically used to aid with network formation and diagnose communications issues. Ivani’s NPS™ technology analyzes that same data to derive insightful human activity information for spaces in homes and professional environments alike.
We refer to the area bounded by a set of nodes as a detection area. NPS™ typically uses three to five nodes to define this detection area. Network diagnostic information is collected through communication between those devices and analyzed to make determinations about human occupancy in the detection area. When humans are present in a physical space, they impact the RF environment in ways which are detectable in the network diagnostic information using NPS™ algorithms.