AI Vision Solutions &
Embedded Systems Engineering

How to Calculate FOV in AI Cameras

Introduction

Field of View (FOV) is one of the most critical parameters in AI vision systems. It determines how much of the scene your camera can capture and directly impacts:

• object detection accuracy
• coverage area
• camera placement
• lens selection

In this guide, we’ll explain how to calculate FOV and provide a practical calculator you can use immediately.

FOV Calculator for AI Cameras

Calculate field of view, scene size at distance, compare common lenses, and estimate the required focal length for your target scene width.

Input Parameters

Required Focal Length

Main formula: FOV = 2 × arctan(d / 2f)

Results

Horizontal FOV
Vertical FOV
Diagonal FOV
Sensor Diagonal
Scene Width at Distance
Scene Height at Distance
Scene Diagonal at Distance
Required Focal Length
View Type
Enter parameters and click Calculate.

Common Lens Comparison

Quick comparison for common focal lengths with the selected sensor and distance.

Lens Horizontal FOV Vertical FOV Diagonal FOV Scene Width Scene Height Typical View
No data yet.

How to Use This FOV Calculator

This calculator helps you quickly estimate the field of view (FOV) and scene coverage for your camera setup.

Step-by-step:
1. Select sensor format
Choose a preset (e.g. 1/2.8") or enter custom sensor dimensions.
2. Enter sensor size
Input sensor width and height (in mm or inches).
3. Set focal length
Specify the lens focal length (e.g. 2.8 mm, 3.6 mm, 6 mm).
4. Enter distance to object
This defines how far the scene is from the camera.
5. Click Calculate

You will get:
✅ Horizontal / Vertical / Diagonal FOV
✅ Scene width and height at distance
✅ Required focal length (reverse calculation)
✅ Lens comparison (2.8 → 16 mm)
✅ View type (Wide / Medium / Narrow)

💡 Pro Tip
If you are designing an AI vision system:

• Start from required scene width
• Then calculate focal length
• Only after that choose the lens

👉 Not the other way around

What is FOV?

Field of View (FOV) is the angle that describes how wide the camera sees the scene.

There are 3 main types:
• Horizontal FOV
• Vertical FOV
• Diagonal FOV

FOV Formula

The core formula is:
Where:
d — sensor size (mm)
f — focal length (mm)

Types of FOV Calculations

Horizontal FOV
Vertical FOV
Diagonal FOV

FAQ

What is the most important FOV parameter?
Horizontal FOV is usually the most important for real-world applications, especially for surveillance and robotics.

Why does FOV decrease when focal length increases?
Because the lens becomes more “zoomed in,” reducing the visible angle of the scene.

What FOV is considered wide?
• Wide: > 90°
• Medium: 50–90°
• Narrow: < 50°

How accurate is this calculator?
It provides a very good approximation for most AI camera systems.
However, real-world results may vary slightly due to:
• lens distortion
• sensor cropping
• ISP processing

Should I use diagonal FOV?
Diagonal FOV is useful for spec comparisons, but for engineering:

👉 use horizontal + vertical FOV

How do I choose the right lens?
It depends on:
• distance to target
• required detail (pixels per meter)
• scene size

👉 This calculator helps you estimate the geometry, but not resolution requirements.

Designing an AI Camera System?

Choosing the right sensor and optics is critical for achieving reliable detection, accurate measurements, and optimal system performance.

At ATEH.tech, we design custom AI vision systems, including:

  • Custom camera modules (Sony IMX sensors)
  • Lens and optics selection
  • Jetson & Rockchip-based embedded platforms
  • Full system integration (hardware + firmware)

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AI Vision Solutions &
Embedded Systems Engineering

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