Engineering

Selecting an Industrial Camera

Camera selection is arithmetic plus a light budget. Do it in this order and the rest of the system gets easier.

Inline code inspection station with monitor mounted over a conveyor
Inline code inspection station
Author: VisionAxiom Imaging EngineeringReviewed by: VisionAxiom Technical ReviewUpdated: 2026-09-02

Direct answer

How do you calculate the camera resolution needed for an inspection?

Divide the field of view by the smallest feature size, then multiply by the number of pixels you need across that feature. For a 200 mm field of view, a 0.2 mm defect and 3 pixels across the defect, the minimum is 200 / 0.2 × 3 = 3,000 pixels in that axis. Repeat for the other axis and add margin for fixture variation.

Step 1 — Resolution

Required pixels per axis = (FOV in that axis ÷ smallest feature) × pixels per feature. Pixels per feature depends on the task: presence detection tolerates 2-3, character verification wants 4-6, and dimensional measurement with tight tolerance wants 10 or more.

Then add margin. Fixture tolerance, part variation and future SKUs routinely consume 20-30% of a field of view that looked exact on paper.

Fig. — Camera selection dependency chain

01 · Requirement

  • Smallest defectmm
  • Field of viewmm
  • Part speedmm/s
  • Cycle rateparts/min

02 · Derived budget

  • Pixels across defect3–5 px min
  • Sensor resolutionpx × px
  • Max exposureµs
  • Data rateMB/s

03 · Specified component

  • Sensor + camera model
  • Interface (USB3 / GigE / CXP)
  • Lens focal length + WD
  • Illumination geometry
resolution ≥ (FOV ÷ smallest feature) × pixels-per-featureblur = speed × exposuredata rate = W × H × bytes/px × fps
Camera selection is derived, not chosen from a catalogue. Requirements on the left fix the arithmetic in the middle; only then does a specific sensor, interface, lens and illumination combination become defensible. Changing any left-hand requirement re-opens every downstream decision.

Step 2 — Shutter and exposure against motion

  • Global shutter for anything moving; rolling shutter skews moving edges and corrupts measurement.
  • Blur (mm) = speed (mm/s) × exposure (s). Keep it well below the smallest feature.
  • If exposure must shrink, you need more light or larger pixels, not more resolution.
Grayscale inspection capture of a carton with red and green region-of-interest boxes around printed codes
Inspection capture — ROI boxes over print and 2D code regions

Step 3 — Interface and bandwidth

Compute the sustained data rate before choosing, and include every camera that shares the host or the switch. Interface choice is the most common late-stage regret in multi-camera stations.

USB3 Vision
High throughput, short passive cable runs, single-camera-per-controller bias
GigE Vision
Long cable runs, switch-friendly multi-camera, lower per-link bandwidth
10GigE
Higher bandwidth with GigE's cabling advantages, more NIC/CPU load
CoaXPress / Camera Link
High-rate line scan and very fast area scan; needs a frame grabber

Step 4 — Lens and sensor format

The lens must cover the sensor format and resolve at the sensor's pixel pitch. A high-resolution sensor behind an under-specified lens produces expensive blur. Confirm mount, working distance, depth of field at the working aperture, and distortion limits if you are measuring.

11-megapixel industrial area-scan camera with large C-mount lens and rubber lens hood
11 MP digital industrial camera with C-mount optics

Frequently asked questions

Mono or color?
Monochrome unless color is part of the measurement. Color sensors interpolate, costing effective resolution and sensitivity — often the difference between seeing a low-contrast defect and not.
How much resolution margin should I add?
Enough to absorb fixture tolerance, product variation and likely future SKUs — commonly 20-30% on each axis. Excessive margin costs light and bandwidth, so it should be a decision, not a habit.

Next step

Discuss your inspection problem with an engineer.

Send samples, line speed and the defect you cannot let through. We respond with an imaging assessment, not a brochure.