Position Intelligence Engine
PIE is a cloud-based building intelligence platform. Using various data sources that can be integrated into the platform, PIE calculates the position of people and occupancy inside a building. The primary data source of PIE is WiFi. PIE connects to your existing wireless network and uses the access points inside the building to determine the signal strength of all WiFi enabled devices. These devices can, but don’t have to be connected to the network. By measuring the differences in signal strength, PIE can accurately determine the position of these devices. Additionally, PIE’s smart algorithms translate the number of devices into the number people and their respective positions.
Although WiFi is the primary data source, PIE integrates all types of sensor data. Whether these are workspace sensors, Bluetooth beacons, motion detectors or the access control system, PIE can integrate them. Sensors can for instance increase the granularity of PIE data, which allows us to accurately measure occupancy of meeting rooms or specific workspaces. Just let us know which type of sensors you would like to integrate. Don’t hesitate either to ask for our advice on what kind of data sources are required to solve your specific use case, we’re here to help!
Strategic Partnerships with Cisco and HPE Aruba
Lone Rooftop has formed strategic global partnerships with the two leading networking vendors on the world, Cisco and HPE Aruba. This means that PIE is not only compatible with the networking technology of both Cisco and HPE Aruba, but is also certified on top of their wireless infrastructure. We also work closely with some of the largest and most influential resellers of Cisco and HPE, so that they can easily advise you if your existing WiFi network is PIE-ready.
Is your network PIE-ready?
Contact us to discuss the possibilities.
Lone Rooftop understands implementing an Intelligent Building Platform and Apps across your organisation is probably not something you have done before and proactive support and guidance is most likely required. Our growing Implementation and Customer Success teams have successfully completed numerous PIE implementations, meaning we have established best practises and will proactively guide your project team during the implementation process and ensure we quickly achieve joint success by focusing on your business cases. So don’t worry, we’ve got your back!
Privacy by Design
An automated script that runs on-premise in your own datacenter and within your own firewalls, anonymises all privacy sensitive data before this is processed and stored in PIE. This method ensures that data can never be traced back to an individual person and assures that PIE is fully compliant with privacy legislations.
“Because of the anonymisation script of Lone Rooftop, data cannot be traced back to an individual person which makes us GDPR-Ready”
—Joris Fortuin, Head of Integrated Facility Management, Wageningen University
Does PIE affect the performance of my wireless network?
No. PIE only uses the ‘listening mode’ of the access points and therefore doesn’t impact the bandwidth of your network.
In which cloud does PIE run?
The PIE Cloud is being hosted in the Amazon AWS Cloud. All data stored there is guaranteed to remain within the EU. Physical Security to the data is being handled by Amazon as well, ensuring the highest safety standards and complying with existing data security and privacy legislations. Alternatively, PIE can also be hosted in a growing number of other regions with dedicated AWS Cloud data centers.
Access to the rich data inside PIE can be granted through the API. This means that processed data can be consumed in a standardised format through the API access.
PIE for developers
PIE offers a platform for developers. There are three APIs available that provide access to the data in PIE.
- Historic API. Providing all historical data of 1 minute and older.
- Present API. Providing real-time data, e.g. all data that is less than a minute old.
- Future API. Providing all predictive occupancy data from our prediction engine.
Are you a developer and interested in our APIs? Contact us.