Technology

AI video analytics: on the camera or on a server?

The three places video analytics can run, on the camera, on an edge device, or on a server, and when each one fits, with VCA and Vaidio as examples.

  • By IZI Support
  • Published
  • 1 min read
Vaidio search results, with people marked by green boxes across many camera views

AI video analytics detects events in camera video, raises alerts, and makes recordings searchable. The first question to settle is where the analytics run.

Three options

  1. On the camera. Analytics run inside an AI camera. VCA's IPAi cameras, for example, run analytics, face recognition, and plate recognition on the camera itself.
  2. On an edge device. A compact device adds AI to cameras you already have.
  3. On a server. A central server processes video from many cameras. Vaidio is a Vision AI platform that adds AI analytics to existing IP cameras and VMS, on-premises, at the edge, in the cloud, or hybrid.
The VCAforensics image search window, with rows of pictures of one person taken by different cameras
VCAforensics finds one person across recordings from a picture of them. Image by VCA Technology.

Which one fits

It depends on the number of cameras, the equipment already in place, network capacity, and the analytics you need. Many projects combine more than one option.

VCA and Vaidio both work with Nx Witness.

Plays from YouTube. Pressing play connects you to {provider}.

How Nx Witness Edge turns the camera itself into the VMS, from the official VCA Technology channel.

Let's work out together which option fits your project. Get in touch.

Let's work together

Tell us about your project and what you need. We'll choose the right solution together.

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