Request For Demo     Request For FreeTrial     Subscribe     Pay Now

United States Project Notice - Reflected Light Field Sensing For Occupancy Detection


Project Notice

PNR 53902
Project Name Reflected Light Field Sensing for Occupancy Detection
Project Detail Heating, ventilation, and air conditioning (HVAC) consumes a significant portion of the energy used in buildings. Much of this is wasted energy, used when buildings are either not occupied at all, or occupied well under their maximum design conditions. Traditional motion sensors are often used in buildings to adjust lighting levels, but they cannot provide advanced quantitative information about the environment. New classes of sensor systems used to enable advanced control of HVAC levels can include human presence sensors, people counting sensors, and low-cost CO2 sensors. Their improved accuracy and reliability can reduce energy consumption for homes and commercial environments. Project Innovation + Advantages: Rensselaer Polytechnic Institute (RPI) will develop a method for counting occupants in a commercial space using time-of-flight (TOF) sensors, which measure the distance from objects using the speed of light to create a 3D map of human positions. This TOF system could be installed in the ceiling or built into lighting fixtures for easy deployment. Several sensors distributed across a space will enable precise mapping, while preserving privacy by using low-resolution images. The technology is being designed around low power infrared LEDs and a patented plenoptic detector technology together with TOF information, which can enable unique combinations of spatial resolution, field of view and privacy. The sensor network will maintain an accurate count of the number of people in the space, and uses a simple program to track people who may be temporarily lost between sensor "blind spots", thus reducing the number of sensors needed. Occupancy data is then sent to the building control system to manage the heating, cooling and air flow in order to maximize building energy efficiency and provide optimal human comfort. Energy costs of heating and cooling can be reduced by up to 30% by training the building management system to deliver the right temperature air when and where it is needed. Potential Impact: If successful, SENSOR projects will dramatically reduce the amount of energy needed to effectively heat, cool, and ventilate buildings without sacrificing occupant comfort.
Funded By Self-Funded
Country United States , Northern America
Project Value USD 3,187,313

Contact Information

Company Name Rensselaer Polytechnic Institute (RPI)
Web Site https://arpa-e.energy.gov/technologies/projects/reflected-light-field-sensing-occupancy-detection

Tell us about your Product / Services,
We will Find Tenders for you