Enhancing Security Surveillance Through Business Intelligence with NVIDIA DeepStream

Security systems, whether in public or private establishments, frequently encounter challenges in delivering tailored, insightful analytics and real-time security alerts. In the contemporary business landscape, grasping customer behavior and enriching their experience is necessary. Business analytics emerges as the linchpin for well-informed decision-making across financial aspects, daily operations, and beyond. Concurrently, upholding premises security remains of utmost importance. To address these requirements, we introduce URSA—an economical application seamlessly integrated into existing surveillance systems. URSA harmoniously merges business analytics with heightened security measures, leveraging NVIDIA DeepStream technology to analyze data acquired from surveillance systems. The customized DeepStream pipeline within URSA amalgamates diverse deep learning models, including PeopleNet, FaceNet, and ST-GCN, to deliver targeted outcomes. Our evaluation of URSA’s performance, conducted with video footage from bustling areas like college campuses and railway stations, underscores its exceptional accuracy in handling challenging real-world scenarios.