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Edge AI for Real-Time Video Surveillance by dikshanshkaushal is a document available to read on EtoBox.

What is Edge AI for Real-Time Video Surveillance about?

The paper discusses the integration of Edge AI in surveillance systems for real-time video analytics, highlighting its advantages over traditional cloud-based methods, such as reduced latency, improved privacy, and bandwidth efficiency. It explores various deep learning models, particularly Convolution Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), which enhance object detection and behavior analysis at the edge. The study also addresses the challenges and future research directions in the fie

Author

dikshanshkaushal

Language

EN