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1、Shows How Gen AI Can TransformVideo Surveillance for More Secureand Efficient OutcomesSMART SURVEILLANCE:LEVERAGING INTELLIGENCE IN SECURE DATA CENTERS CONTENTS Executive Summary.03 Introduction.04 Methodology.06Environment Preparation.07RAG Design Benefits.09Observability.13Key Cost Findings.14Reco

2、mmendations,Insights.16Conclusion.20White Paper3Joint Cisco/SoftServe Project Shows How Gen AI Can Transform Video Surveillance for More Secure and Efficient Outcomes The rise of multi-modal LLM models has created new opportunities for solving problems that involve processing visual information,like

3、 video monitoring and surveillance.These models have boosted Generative AI(Gen AI),leading to smarter systems that can understand and analyze video data more effectively.Domains such as oil&gas face challenges in monitoring vast and often remote locations,the need for efficient,real-time insights fr

4、om video footage has become paramount.Unlike traditional computer vision solutions,which require massive pre-labeled datasets for training and multiple specialized models for different detection tasks(e.g.,objects,events,motion),Gen AI can dynamically learn and adapt,enabling it to comprehend scenes

5、 more holistically and accurately.This means that as new threats or operational patterns emerge,the system can quickly adjust to identify and address them.Gen AI enhances operational efficiency,risk management,and compliance in industries that rely heavily on surveillance data.With capabilities like

6、 sophisticated object detection,comprehensive classification,and advanced anomaly detection,it excels at tasks that once required multiple specialized models or constant manual fine-tuning.This adaptability is particularly beneficial in heavily regulated environments,where the complexity of complian