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Pixel Resolution Calculator

Pixel Resolution Calculator

Calculate object-side pixel resolution for machine vision systems. Enter the camera field of view and image resolution to estimate micrometers per pixel, pixels per millimeter, and feature pixel coverage.

Input Parameters

px
px

Results

Horizontal Pixel Resolution
52.0833 um/pixel
Vertical Pixel Resolution
62.5 um/pixel
Limiting Pixel Size
62.5 um/pixel
Limiting Pixels per mm
16 px/mm
Feature Coverage
16 px
Design Note
Good pixel coverage for inspection

Use these results as engineering selection values, then verify with actual lens, camera, PCB, or light-source data as appropriate.

Equations Used

Object-side pixel size:

Pixel Size = Field of View / Number of Pixels

Pixels per millimeter:

Pixels/mm = Number of Pixels / Field of View

Feature pixel coverage:

Feature Pixels = Feature Size / Object-side Pixel Size

Limiting resolution:

The larger of horizontal and vertical object-side pixel sizes is the conservative value.

Frequently Asked Questions (FAQ)

Q1: What does this pixel resolution calculator do?
It calculates object-side pixel size and how many pixels cover a feature in a machine vision image.

Q2: Is smaller um/pixel always better?
Smaller object-side pixel size improves sampling, but lens resolution, lighting, focus, and sensor noise must also support it.

Q3: How many pixels are needed to inspect a feature?
A simple presence check may use a few pixels, while measurement and defect inspection usually need more sampling and calibration margin.

Q4: Does this calculator replace calibration?
No. Accurate measurement requires calibration with a known target and correction for lens distortion and perspective.

Q5: Why use the limiting pixel size?
The conservative resolution is based on the larger pixel size between horizontal and vertical directions.

Disclaimer: This calculator gives geometric sampling estimates only. Real measurement capability depends on lens MTF, focus, aperture, lighting, motion blur, noise, demosaicing, distortion, calibration, and image processing algorithm.
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