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What pixel density (PPM) means for CCTV resolution

Pixel density, or pixels per metre (PPM), is the number of horizontal pixels a camera lands on each metre of scene width: PPM = horizontal pixels ÷ scene width in metres. It is the metric that decides what an operator can actually do with the footage — far more than the megapixel headline alone, because the same camera spread across a wider scene resolves fewer pixels per metre. Pixels per foot is the density divided by 3.281.

DORI tiers (IEC 62676-4 minimum horizontal pixel densities)

The DORI scale is defined by IEC 62676-4 — Video surveillance systems for use in security applications — Part 4: Application guidelines. Each tier is a minimum horizontal pixel density needed for an operator task:

  • Detect25 px/m: Tell that a person or object is present in the scene.
  • Observe62.5 px/m: Follow movement and note characteristic details such as distinctive clothing.
  • Recognise125 px/m: Say with confidence whether a person shown is the same as one seen before.
  • Identify250 px/m: Establish the identity of an individual beyond reasonable doubt.
  • Inspect1000 px/m: Read fine forensic detail — a vehicle number plate or banknote serial within the field of view. (Industry extension beyond the four IEC 62676-4 tiers.)

Camera resolution presets (nominal horizontal pixels)

The calculator carries the following nominal horizontal pixel formats. These are sensor-format pixel budgets across the scene; real usable detail is reduced by lens quality, scene contrast, lighting, motion blur and codec compression.

  • 1MP / 720p: 1280 horizontal pixels (nominal).
  • 2MP / 1080p: 1920 horizontal pixels (nominal).
  • 4MP: 2560 horizontal pixels (nominal).
  • 5MP: 2944 horizontal pixels (nominal).
  • 6MP: 3072 horizontal pixels (nominal).
  • 8MP / 4K: 3840 horizontal pixels (nominal).
  • 12MP: 4000 horizontal pixels (nominal).

Frequently asked questions

What resolution do I need to identify a person?
Identification under IEC 62676-4 needs at least 250 pixels per metre of scene width. The maximum scene width that still identifies for a given camera is its nominal horizontal pixels divided by 250 — so an 8MP / 4K camera (3840 px) identifies across roughly 15.4 metres, and a 2MP / 1080p camera (1920 px) across roughly 7.7 metres.
What is the difference between recognise and identify?
Recognise (125 px/m) lets an operator say whether a person is the same as someone seen before; identify (250 px/m) is the higher, evidential standard of establishing identity beyond reasonable doubt. Recognise covers twice the scene width of identify for the same camera.
Is megapixel count enough on its own?
No. A high-megapixel camera spread across a wide scene can still fall below Recognise. Pixel density depends on both the resolution and the scene width the camera has to cover, which is why this calculator works from PPM rather than megapixels alone.

CCTV Resolution / PPM Calculator — DORI pixel density (IEC 62676-4)

— Calculator · CCTV resolution & pixel density (DORI)

Scene width, resolution — pixels per metre.

Set the horizontal scene width you need to cover and a camera resolution. The calculator returns the pixel density (px/m and px/ft), the DORI tier achieved and the maximum scene width that still meets each tier. IEC 62676-4 criteria, cited.

IndicativeIndicative planning estimate
At a 6.00 metre scene width, a 4MP camera (2560 horizontal pixels) gives 427 pixels per metre, which is 130 pixels per foot. The DORI tier achieved is Identify. 4MP identifies a face up to ~10.2 m wide; recognises up to ~20.5 m.

Pixel density

427

px/m · 130 px/ft

DORI tier achieved

Identify

≥ 250 px/m

Scene width

6.00

m · 4MP

4MP identifies a face up to ~10.2 m wide; recognises up to ~20.5 m. Resolution pixels are nominal sensor formats — real usable detail is reduced by lens, scene, lighting and compression. This is a planning sense-check, not a survey or a camera layout.

A planning link — not a quote.

427 px/m4MP · 2560 PX ACROSS 6.0 MIdentifyDetect25Observe62.5Recognise125Identify250Inspect1000IEC 62676-4 DORI · NOMINAL PIXELS · LENS / LIGHTING / COMPRESSION REDUCE USABLE DETAIL
resolution
4MP · 2560 px wide (nominal)
scene width
6.00 m
density
427 px/m · 130 px/ft
achieved
Identify (Establish the identity of an individual beyond reasonable doubt.)

Max scene width per tier — 4MP

TierMin px/mMax width
Detect25102 m(336 ft)
Observe62.541.0 m(134 ft)
Recognise12520.5 m(67 ft)
Identify25010.2 m(34 ft)
Inspect10002.56 m(8 ft)

Max width = nominal horizontal pixels ÷ the tier's minimum px/m. Wider scenes than this fall below the tier.

What changes this estimate

  • Lens quality, focus & optical resolving power
  • Scene contrast, lighting & motion blur
  • Codec compression at the recorded bitrate
  • Where the subject sits within the field of view

Source

IEC 62676-4 — DORI pixel-density criteria (Detect / Observe / Recognise / Identify); the fifth tier shown, Inspect, is an industry extension, not part of the standard — published by the IEC and available from the IEC webstore.

IEC 62676-4 · retrieved 2026-06-27

A planning link — not a quote.

Quick answer

Pixel density (PPM) is horizontal pixels divided by scene width in metres — the metric that decides whether footage can detect, observe, recognise or identify a person. This calculator returns the PPM, the DORI tier achieved against the IEC 62676-4 criteria, and the maximum scene width that still meets each tier for a chosen resolution. It is a planning sense-check on the optics, not a survey or a camera layout.

  • When to use

    Early scoping of what camera resolution a scene needs to reach Recognise or Identify, before a surveillance design — and to sanity-check a megapixel claim against the scene width it has to cover.

  • When not to use

    It does not place cameras, produce a security or camera layout, or replace a site survey — resolution pixels are nominal, and real usable detail depends on the lens, lighting, scene contrast and compression.

Verification status: Conditional engineering model — assumptions stated · Independently reference-tested · reviewed 2026-08-30

· Engineering notes

How to read this tool’s output

Stage 2-3 (planning / design). Use to fix the resolution and per-scene coverage budget before camera count and placement are finalised — pairs with the CCTV Coverage Calculator (scene framing) and CCTV Storage Retention (recording load).

What an engineer should know

The assumptions behind the numbers this tool produces.

  • Pure-optics pixel-density calculator. PPM = horizontal pixels ÷ scene width in metres; px/ft = PPM ÷ 3.281. The single metric that decides what an operator can do with the footage — not the megapixel headline.
  • DORI tiers are the IEC 62676-4 minimum horizontal pixel densities: Detect 25, Observe 62.5, Recognise 125, Identify 250 px/m, with Inspect (1000 px/m) the forensic tier used above Identify. The tier achieved is the highest threshold the density clears.
  • Max scene width per tier = nominal horizontal pixels ÷ the tier threshold — so 8MP/4K (3840 px) identifies across ~15.4 m and recognises across ~30.7 m; 2MP/1080p (1920 px) identifies across ~7.7 m.

When this tool is the right one

The project moments and room types this is built for.

  • Deciding what resolution a specific scene needs to reach Recognise or Identify.
  • Sanity-checking a megapixel claim against the scene width the camera must cover.
  • Setting a per-scene pixel-density budget before camera count and lensing are finalised.

What changes the answer in practice

Field conditions that move the result away from the planning figure.

  • Real usable detail is reduced by lens resolving power, focus, scene contrast, low light, motion blur and codec compression — confirm against a site test before committing the resolution.
  • The identity standard differs by scene: tills and entrances often need Identify, perimeter and aisles only Detect or Observe.
  • Where the subject lands inside the field of view changes the achieved density — frame the scene to the task.

Defensible starting architectures

Vendor-neutral reference points, not a recommendation to buy — the right answer is the one that survives your site survey.

  • Entrances / tills (face identity): size to ≥250 px/m at the choke point — typically a narrow-FOV view per door.
  • Aisles / lobbies (recognise / observe): 125 px/m is usually enough; one camera can cover a wider scene.
  • Perimeter / open ground (detect): 25 px/m detects presence; pair with a tighter recognise camera at the approach.

Common mistakes

Failure patterns we see on real projects.

  • Reading megapixels as the answer — a 12MP camera over a wide forecourt can fall below Recognise.
  • Designing the whole estate to Identify when most scenes only need Detect or Observe — wastes resolution, bitrate and storage.
  • Treating nominal sensor pixels as usable detail and ignoring lens, lighting, contrast and compression losses.
  • Forgetting that the subject rarely sits at the widest point — effective density at the subject can be higher than the full-scene PPM.

What this tool does not do

Deliberate limits — where the estimate stops and design begins.

  • Does not place cameras, design coverage, produce a security layout or recommend a product.
  • Outputs are nominal pixel densities — a planning sense-check, not a survey result.

Where this tool fits

The building types this output is calibrated for — and, where we have said so, the ones it is not.

· Why it matters

Megapixel marketing answers the wrong question. A 12MP camera covering a 40-metre forecourt resolves only ~100 px/m — below Recognise — while a humble 2MP camera on a 1.5-metre doorway clears Identify with room to spare. What matters is pixels per metre across the scene, measured against the IEC 62676-4 DORI tiers: Detect 25, Observe 62.5, Recognise 125, Identify 250, Inspect 1000 px/m. This calculator turns a scene width and a resolution into the tier you actually achieve, and the widest scene each tier survives — so the resolution conversation starts from the task, not the spec sheet.

· Frequently asked

CCTV resolution / PPM
what people ask first.

How is pixel density (PPM) calculated?

PPM = horizontal pixels ÷ scene width in metres. A 4MP camera (2560 horizontal pixels) covering a 6 m scene gives 2560 ÷ 6 ≈ 427 px/m — comfortably above the Identify threshold of 250 px/m. Pixels per foot is the same figure divided by 3.281.

What are the DORI pixel-density tiers?

IEC 62676-4 defines minimum horizontal pixel densities for four operator tasks: Detect (25 px/m — someone is present), Observe (62.5 px/m — follow movement and note details), Recognise (125 px/m — is this the same person as before), Identify (250 px/m — establish identity beyond reasonable doubt). Inspect (1000 px/m) is the forensic tier used above Identify for reading fine detail such as a number plate within the field of view.

What is the maximum scene width I can identify across?

For a given camera it is the nominal horizontal pixels divided by 250 (the Identify threshold). An 8MP / 4K camera (3840 px) identifies across roughly 15.4 m; a 2MP / 1080p camera (1920 px) across roughly 7.7 m. Recognise covers twice that width, because its threshold is half.

Why does the calculator say resolution pixels are nominal?

Because the megapixel format is the theoretical pixel budget, not the usable detail. Lens resolving power, focus, scene contrast, low light, motion blur and codec compression all reduce how much of that nominal density survives to the recorded frame. The PPM figure is a planning sense-check, not a guarantee of resolved detail — a site test confirms the real result.

Does this replace a CCTV survey or camera layout?

No. It sizes the optics question — what resolution a scene needs to reach a DORI tier — at an early planning stage. It does not place cameras, design coverage, specify a security layout, or recommend a product. Those follow from a survey and a technical design conversation.

· Begin

Planning a surveillance scene
properly?

Send the scenes that matter — the entrances, the tills, the perimeter — and the identity standard each one needs to meet. We respond within two working days with a resolution and lens note for each view, as the start of a surveillance design conversation.