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Deploying a Low-Latency Surveillance Pipeline: An Architecture Guide

Deploying a Low-Latency Surveillance Pipeline: An Architecture Guide

"Real-time" is one of those phrases that gets used loosely, and in a video analytics pipeline it hides a lot of engineering. A detection is not ...

Choosing a GPU for Real-Time Video Analytics

Choosing a GPU for Real-Time Video Analytics

Capacity planning tells you how many GPUs a deployment needs. This is the other half of the question: which GPU to actually buy. It deserves its own ...

GPU Capacity Planning for Real-Time AI Video Analytics

GPU Capacity Planning for Real-Time AI Video Analytics

Ask a vendor how many cameras their AI runs on one GPU and you will usually get a single confident number with no conditions attached, which is the ...

Cloud-based AI video analytics dashboard with retail security camera feed and server racks.

On-prem vs Cloud for Real-Time AI Video Analytics

For most software written this decade, the cloud is the default and running your own hardware needs a justification. Real-time video analytics ...

Camera Edge Processing vs Server-Based Processing: The Real Trade-offs

Camera Edge Processing vs Server-Based Processing: The Real Trade-offs

There are two honest places to run AI on a video feed, and the choice between them shapes almost everything else about a deployment, its cost, how it ...

Camera-agnostic AI video analytics: a white bullet security camera monitoring a city street with blurred traffic in the background.

Camera-Agnostic AI Video Analytics: Add AI to the Cameras You Already Own

The most consequential decision in a central video analytics system is one that rarely makes it into the requirements document: whether the ...

Network and Bandwidth Design for Large Camera Fleets

Network and Bandwidth Design for Large Camera Fleets

The GPU gets all the attention in a real-time video analytics deployment, and the network quietly runs out first. It is an easy oversight, because a ...

Control room operator monitoring AI-powered video surveillance and multiple live security camera streams on large displays.

Pulling Live Streams From Your VMS into AI: Integration Patterns That Work

Adding AI to an existing camera estate comes down to one unglamorous problem: getting a copy of the video out of the video management system you ...

Scaling Live Surveillance to Thousands of Cameras: What Actually Breaks

Scaling Live Surveillance to Thousands of Cameras: What Actually Breaks

Scaling a real-time video analytics deployment is not one smooth curve where everything simply gets bigger. It is a series of different walls, each ...

A person viewing multiple real time surveillance footages

Real-Time AI Video Analytics at Scale: The Systems Engineering Guide

Walk through almost any operation that runs at size and you find the same imbalance. A manufacturing plant covers its lines, docks, and perimeter ...

Security operations analyst monitoring AI-powered video surveillance dashboard with threat detection across multiple camera feeds

AI Threat Detection: Spotting Threat Threats Before They Escalate

Threat detection has shifted from a human-watched screen problem to a pattern-recognition problem. Most organizations already own the cameras they ...