Imagine a building that acts like a living organism, feeling the mood and presence of people without using intrusive cameras. It uses invisible radio waves to sense where people are and how they feel, while powering itself from the air. Instead of a central brain, the intelligence is spread across the walls and devices to keep things fast and private.
Current smart buildings lack true awareness and rely on power-hungry sensors that are difficult to maintain. There is also a looming 2025 regulatory deadline for automation in tertiary buildings.
A custom intelligence block with a RISC-V microcontroller for energy-efficient learning and a system for RF-based passive localization and tracking.
If you are a management firm dealing with high energy costs and rigid automation — this project developed RF-sensing and energy-harvesting circuits that allow buildings to automatically adjust to group sentiment and occupancy. This ensures compliance with decree 2010/31/EU while reducing the need for battery replacements.
If you are a manufacturer dealing with the high power consumption of smart sensors — this project developed a custom intelligence block with a RISC-V microcontroller for energy-efficient learning. This allows for the creation of sensors that operate without traditional power sources via energy harvesting.
If you are an operator dealing with strict privacy laws and the need for building automation by 2025 — this project developed Garbled Circuit Cryptography and non-intrusive RF-sensing. This provides high-accuracy tracking and sentiment analysis without compromising individual privacy.
Based on available project data, specific commercial pricing is not provided; however, the project received an EU contribution of EUR 2,550,196 for development.
The project is currently in the development and demonstration phase, with a demo of distributed learning and passive localization being conducted in the Aalto Collider building.
Based on available project data, there is no specific mention of licensing terms or patent filings, though it is coordinated by Aalto University.
Yes, it is specifically designed to help tertiary buildings meet the requirements of regulatory decree 2010/31/EU regarding building automation control systems by 2025.
The project period runs from 2022-10-01 to 2026-03-31, suggesting full results will be available by early 2026.
The consortium is purely academic, consisting of 5 universities across 5 countries (ES, FI, FR, IT, TR). With an industry ratio of 0%, the project is heavily focused on theoretical and experimental underpinnings rather than immediate commercialization, which suggests a high potential for licensing but a need for industrial partners to reach market readiness.
Contact Aalto University (AALTO KORKEAKOULUSAATIO SR) in Finland
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