Senem Velipasalar

Associate Professor, Department of Electrical Engineering & Computer Science, College of Engineering & Computer Science, Syracuse University

Focus Areas: Computer Vision, Video/Image Processing, Embedded Smart Cameras, Multi-camera Multi-object Tracking

Faculty Fellows Projects:

2019 Projects
The real-time detection and rapid facility systems response to chemical and biological (CB) threat agents is essential to both the protection of building occupants and the maintenance of critical system operations. We propose a unique and transformational strategy to a new sensor approach with the potential for seamless integration with facility systems to form a rapid, robust, accurate and fully integrated environmental and security control systems, based upon our recent technological advances.
2017 Projects
Sponsored by the U.S. Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E), Prof. Velipasalar and SyracuseCoE will work with colleagues to develop a low-cost, high-accuracy sensor platform that accurately detects human presence inside buildings to dramatically reduce energy use in residential settings. The sensor will pair a low-resolution optical camera (which inherently preserves privacy) with an infrared sensor, microphone and low-power processor to understand its surroundings and determine human presence with a goal of reducing HVAC energy usage by 30%.

Additional Links:

Syracuse faculty profile
Smart Vision Systems Laboratory
Google Scholar Citations profile