Automated Video Analytics System for Surveillance
Louisiana State University, LA, United States
This invention provides the capability for automatically recognizing activities in videos and objects in images. For satellite imagery, it has a recognition rate of 97%. It can recognize both human and vehicle activities in a video in real time to provide actionable intelligence. Applications include security and traffic surveillance.
Primary Application Area: IT, Cyber-Security, Software
Technology Development Status: Prototype
Technology Readiness Level: TRL 6
FIGURES OF MERIT
Value Proposition: This systems provides high performance video and image analytics that can find actionable intelligence more quickly with less strain on video analysts. Finding actionable intelligence means faster and more appropriate responses to potential problems. It also provides unprecedented detection rates to maximize the amount of data formed into situational context.
Organization Type: Academic/Gov Lab
Showcase Booth #: 328
GOVT/EXTERNAL FUNDING SOURCES
Government Funding/Support to Date: This invention has received grants from DARPA, ARO, and RDECOM.
Primary Sources of Funding: Federal Grant, University
Looking for: Both Funding and Development Partners