This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a novel multi-camera surveillance system for smart city applications. The $200,000 award, with a period of performance from April 2025 to March 2028, aims to create a distributed, real-time video analytics system that leverages edge computing and cloud resources to address challenges in traffic mobility and public safety. The project emphasizes privacy-preserving techniques to protect sensitive information while enabling scalable and efficient surveillance capabilities. Key innovations include advanced machine learning models for object and human tracking, a resilient cyberinfrastructure design, and lightweight cryptographic systems for privacy-preserving data processing. This project is expected to deliver transformative contributions across multiple research domains, including systems and networking, computer vision, and security and privacy, while also promoting societal benefits through improved urban services and public trust in surveillance technologies.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 5/8/25 |