Low power and privacy preserving sensor platform for occupancy detection
A low-cost, low-power, stand-alone sensor platform having a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor that is configured to perform occupancy detection and counting while preserving the privacy of occupants. The platform is programmed to extract shape/texture from images in spatial domain; motion from video in time domain; and audio features in frequency domain. Embedded binarized neural networks are used for efficient object of interest detection. The platform is also programmed with advanced fusion algorithms for multiple sensor modalities addressing dependent sensor observations. The platform may be deployed for (i) residential use in detecting occupants for autonomously controlling building systems, such as HVAC and lighting systems, to provide energy savings, (ii) security and surveillance, such as to detect loitering and surveil places of interest, (iii) analyzing customer behavior and flows, (iv) identifying high performing stores by retailers.
- Research Organization:
- Syracuse University, Syracuse, NY (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AR0000940
- Assignee:
- Syracuse University (Syracuse, NY)
- Patent Number(s):
- 11,605,231
- Application Number:
- 16/573,499
- OSTI ID:
- 1987225
- Resource Relation:
- Patent File Date: 09/17/2019
- Country of Publication:
- United States
- Language:
- English
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