Multi-modal Sensor Platform for Occupancy Detection
Technology Description:
Syracuse University will develop a sensor unit to detect occupancy in residential homes called MicroCam. The MicroCam system will be equipped with a very low-resolution camera sensor, a low-resolution infrared array sensor, a microphone, and a low-power embedded processor. These tools allow the system to measure shape/texture from static images, motion from video, and audio changes from the microphone input. The combination of these modalities can reduce error, since any one modality in isolation may be prone to missed detections or high false alarm rates. Advanced algorithms will translate these multiple data streams into actionable adjustments to home heating and cooling. The algorithms will be implemented locally on the sensor unit for a stand-alone solution not reliant on external computation units or cloud computing. The MicroCam system itself will be wireless and battery-powered (operating for at least 4.5 years on 3 AA or 2 C batteries), and will be designed to be easily installed and self-commissioned.
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.