Purdue University was awarded a $438,071 project grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) to develop key technologies enabling a software-defined video analytics pipeline architecture. The project aims to develop 1) a software-defined video analytics pipeline abstraction that integrates intelligence directly into network cameras to allow fully automated, real-time...
This $399,999 Project Grant was awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "Collaborative Research: CSR: SMALL: Accurate and Private Multi-Camera Surveillance System on Time-Sensitive Networks," will be performed by the University of Connecticut. The project proposes a novel multi-camera surveillance system that leverages a network of distributed smart cameras to...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $496,895 over a 3-year period starting September 1, 2024 to develop a unified framework for simplifying and automating the development, optimization, and adaptation of video analytics pipeline (VAP) applications. The key products and services to be delivered under this grant include: A framework that enables domain experts to specify...
This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
This $557,460 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant, awarded on October 1, 2025, supports the development of a new AI framework for real-time, scalable, and verifiable generative video editing. The key innovations include motion-adaptive cross-frame attention, pipelined frame scheduling for multi-GPU systems, formal verification of semantic consistency, and system-level validation on real hardware. These advancements aim...
This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
This Project Grant award, titled "COLLABORATIVE RESEARCH: NETS: SMALL: REVOLUTIONIZING IMMERSIVE VIDEO STREAMING WITH NEURAL CONTENT REPRESENTATION," is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $275,000 award will support research at the University of Illinois and George Mason University to design, build, and test a high-performance immersive video streaming system using advanced...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $199,760.00 to Wright State University to conduct research aimed at advancing intelligent transportation systems. The project intends to develop a cooperative perception framework that aggregates data from a selected subset of cameras to build a comprehensive map of traffic conditions, minimizing data requirements while maximizing situational awareness. Additionally, the research will...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop advanced technologies for real-time video anomaly anticipation and prevention. The $359,324 award, granted to the President and Board of Trustees of Santa Clara College, will fund research to create AI models capable of accurately predicting motion-based anomalies before they occur in video surveillance systems. The project...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $200,000 to the University of Illinois to develop an advanced multi-camera surveillance system for smart city applications. The project aims to create a novel distributed system that combines edge computing and cloud processing to analyze video streams in real-time, while emphasizing privacy-preserving techniques to protect sensitive information. Key...