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RESOURCES

A Field Guide to Computer Vision

Initial resources covering technical concepts, deployment choices and use cases in operational context.

01 · GUIDE

How AI Perimeter Security Works

Explore how ROI, virtual boundaries and event rules work together for perimeter security.

Explore how ROI, virtual boundaries and event rules work together for perimeter security.
COLT AI PRODUCT VIEW
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
02 · GUIDE

Computer Vision for Occupational Safety

How PPE and site risks become structured events from camera streams.

How PPE and site risks become structured events from camera streams.
COLT AI PRODUCT VIEW
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
03 · GUIDE

What Is Dynamic ROI?

Defining which image regions are analyzed, when and under which rule.

Defining which image regions are analyzed, when and under which rule.
COLT AI PRODUCT VIEW
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
04 · GUIDE

How Existing Cameras Become AI-Powered

The integration path from compatibility assessment to event generation.

The integration path from compatibility assessment to event generation.
ILLUSTRATIVE ARCHITECTURE SCENE
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
05 · GUIDE

Edge vs On-Premise Computer Vision

Differences in processing location, data control and scaling approach.

Differences in processing location, data control and scaling approach.
ILLUSTRATIVE DEPLOYMENT SCENE
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
06 · GUIDE

Using Video Data for Process Analysis

How stage, waiting and deviation data supports operational decisions.

How stage, waiting and deviation data supports operational decisions.
ILLUSTRATIVE PROCESS SCENE
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment
07 · GUIDE

Computer Vision in Quality Control Automation

Configurable visual scenarios for product, part and assembly inspection.

Configurable visual scenarios for product, part and assembly inspection.
ILLUSTRATIVE QUALITY SCENE
APPLICATION FRAMEWORK

In the Colt AI approach, camera video is not an outcome by itself. Camera and region context, perception data, rule evaluation and event management work together. Project design considers compatibility, data policy and decision requirements in one framework.

Key assessment points

  • Camera angle and field visibility
  • ROI, virtual line and event rule
  • Notification, evidence and reporting flow
  • On-Premise, Edge or hybrid deployment