This Project Grant award, valued at $399,999.00, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The award funds a collaborative research project to develop an advanced multi-camera surveillance system for smart city applications. The proposed system leverages distributed smart cameras and cloud computing to enable real-time video analytics, while emphasizing privacy-preserving techniques to protect sensitive information. Key innovations include unsupervised learning models for object tracking and re-identification, a resilient cyberinfrastructure design, and lightweight cryptographic systems for privacy-preserving video data processing. This project aims to deliver transformative contributions across domains such as computer vision, systems and networking, machine learning, and security and privacy, ultimately improving urban services and fostering public trust in surveillance technologies. The award period runs from April 15, 2025, to March 31, 2028, and will be carried out by the University of Connecticut as the sole awardee.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $400.0k | 5/8/25 |