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Getting Started

Edge Server Deployment

Deploy the edge runtime that powers low-latency, production-ready processing.

Guide Steps

Step 01

Camera Onboarding

Step 02

Edge Server Deployment

Step 03

RTSP Stream Setup

Step 04

AI Model Processing

Step 05

Access and Login

Step 06

Camera and Zone Configuration

Step 02

Edge Server Deployment

After camera selection, Pallet Vision deploys an edge server in your environment.

The server acts as the local processing layer that receives streams and prepares them for AI inference.

Deployment can be cloud-connected or local-first, but the goal is always low latency and operational reliability.

Edge server architecture for AI processing

Checklist

  • Deploy the approved edge server at the selected site.
  • Connect the server to camera and network infrastructure.
  • Validate service health and stream-ingestion readiness.
Previous: Camera OnboardingNext: RTSP Stream Setup
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