Blog
Insights on AI video analytics and smart security
500 Cameras on One Server: Real VMS Load Benchmark
A single physical Linux server running IncoreSoft VMS handles 500 Full HD cameras in continuous recording mode using only about 45% CPU, 48% RAM, and 6% of a 10 GbE network link. These are actual figures from a live deployment, not a theoretical sizing-calculator estimate.
VMS and Video Analytics as a Service (SaaS)
A modern video surveillance system should not only ensure security but also adapt easily as a business grows. Opening new sites, connecting additional cameras, and using intelligent video analytics shouldn't require major one-time investments.
AI Surveillance for Smart Cities: Real-World Applications
That's the paradox of AI surveillance in smart cities — it's simultaneously the thing that makes urban life safer and the thing that keeps privacy advocates up at night.
Video Analytics Latency
Video analytics latency is the elapsed time between an event occurring in front of the camera and the system producing a result (alert, metadata, decision). In critical-response applications — weapons, fires, falls, intrusions — latency directly affects outcomes. Leading platforms target under 50 ms for edge-deployed analytics.
Retail Video Analytics
Retail video analytics is the application of AI video analysis to store cameras to extract operational and customer insight — footfall, heat maps, conversion rates, queue lengths, demographics, and loss prevention — turning existing surveillance infrastructure into one of the richest data sources in a retail business.
Queue Management System
A queue management system is a combination of cameras, AI video analytics, and operational processes that monitors the length and wait time of queues — at checkout, service counters, ticketing, or any point where customers wait — and triggers action when thresholds are exceeded.
Person Re-Identification
Person re-identification (Re-ID) is the computer vision task of recognizing the same individual across different cameras, camera angles, and times — based on full-body appearance rather than facial features. It enables following a subject of interest across an entire camera network without requiring full face recognition.
Hybrid Deployment
Hybrid deployment in video analytics refers to architectures that combine edge and cloud components — running some AI modules directly on cameras or local servers while sending other workloads to the cloud. It is the dominant architecture for large production deployments because neither pure edge nor pure cloud is optimal for every workload.
H.265 HEVC
H.265, also known as HEVC (High Efficiency Video Coding), is the successor to H.264. It delivers approximately the same video quality at roughly half the bandwidth — a major advantage for IP camera deployments with many streams or high resolution (4K and above).
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