The move to process artificial intelligence (AI) workloads locally is beginning to reshape how security systems are designed and deployed. For video surveillance and analytics, in particular, edge-based AI is emerging as a practical and powerful alternative to cloud-centric architectures. By enabling real-time processing directly on devices, organizations can improve responsiveness, reduce bandwidth costs, and strengthen data privacy protections.
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