System Design Of Proposed Optimal Intelligent Video Surveillance System

System Design Of Proposed Optimal Intelligent Video Surveillance System We present the step by step method of our suggested ideal intelligent video surveillance system for object identification utilising hybrid deep learning approach in this part. The proposed system is an intelligent video surveillance system with processing at the edge, which can detect and track object in a robust and reliable way. the system can work in real time and can track multiple objects in the camera’s field of view accurately with robust re identification.

Github Ishpinderkaur Intelligent Video Surveillance System This research presents a three step strategy to construct an advanced intelligent video surveillance system using hybrid deep learning techniques. a modified barnacles mating optimization. In the contemporary landscape characterized by swift technological advancements and escalating security challenges, the evolution of intelligent video surveilla. This paper examines the role of ai and machine learning techniques in video surveillance systems, with a focus on safety and security applications in public spaces. In addition, this design proposes an intelligent surveillance system to quickly and effectively detect crimes by sending a video image and notification message to the web through real time processing.

Intelligent Video Surveillance System Architecture Download This paper examines the role of ai and machine learning techniques in video surveillance systems, with a focus on safety and security applications in public spaces. In addition, this design proposes an intelligent surveillance system to quickly and effectively detect crimes by sending a video image and notification message to the web through real time processing. We evaluate and present the effectiveness of the proposed framework, the effective airtime estimation algorithm, and the proposed bandwidth pruning mechanism, through extensive experiments using opnet. This article proposes a new intelligent video surveillance system using edge computing, breaking away from the existing centralized cloud based video surveillance system. This research study provides the utilization of an intelligent video surveillance system, a sophisticated technology that integrates video cameras, sensors, and cutting edge software to monitor and analyze activities within a designated area or locale. This section aims to describe our proposed structure of an end to end video surveillance system with built in object detection and face recognition capabilities.