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CCTV Resolution · Logistics & industrial

Warehouse aisle / yard — read a label or plate at 15 m

Problem. A warehouse aisle, loading yard or factory bay is a wide scene — often 12–18 m across — where the useful outcome is reading a carton label, a rack location or a vehicle plate, not just seeing that a forklift moved. Over that width, pixel density falls fast and 'more megapixels' has to be justified against the geometry.

Answer. Across a 15 m scene an 8 MP / 4K camera (3840 pixels wide) lands at roughly 256 pixels per metre — just above the 250 px/m Identify boundary and well past the 125 px/m Recognise tier — where a 4 MP camera would give only ~171 px/m (Recognise only). The preset shows why wide industrial scenes jump to 8 MP rather than settling for 4 MP.

02 / In depth

How this preset reads — the engineering view.

The DORI scale (IEC 62676-4) is a density scale, so a wide scene punishes you twice: the same camera spreads its pixels over more metres, dropping px/m linearly with scene width. At 15 m an 8 MP sensor's 3840 horizontal pixels give 3840 ÷ 15 ≈ 256 px/m — barely into the Identify band. A 4 MP camera (2560 px) over the same 15 m gives ~171 px/m, which clears Recognise (125) but never reaches Identify (250).

That is the trade this preset makes visible. If the requirement is 'recognise which pallet, label or vehicle', 4 MP is sufficient at 15 m. If the requirement is 'identify the individual handling the goods' or 'read the plate to evidential standard', the density has to reach the Identify tier — and at 15 m that means 8 MP, or splitting the aisle into two tighter 4 MP scenes.

Drag the scene-width slider to see the crossover: hold 8 MP and widen past ~15.3 m and the badge drops from Identify to Recognise; narrow toward ~10 m and even 4 MP reaches Identify. The calculator also reports the maximum scene width that still meets each tier for the chosen resolution — use that number to set camera spacing along a long aisle.

What it does not model: it assumes the target sits across the full stated scene width at the working distance; it does not account for the depth of a long aisle (a near target is denser than a far one), nor motion blur on fast forklifts, nor the IR reach needed to hold this density after dark.

What this preset deliberately does not solve

  • Density is quoted at a single scene width — down a long aisle, near targets exceed and far targets fall below the stated px/m.
  • Fast-moving forklifts and vehicles introduce motion blur that no static pixel-density figure captures; confirm shutter / frame-rate separately.
  • Night performance over a wide industrial scene depends on IR / white-light reach and sensor sensitivity, not the daytime pixel density shown here.

How this preset differs from its siblings

The sibling preset is a tight 4 m reception counter where a mainstream 4 MP camera clears Identify with 2.5× margin. This preset is the wide-scene case: at 15 m even 8 MP only just reaches the Identify boundary, and 4 MP is Recognise-only — the geometry, not the budget, drives the sensor choice. Use this preset to justify 8 MP (or scene-splitting) on aisles, yards and bays.

03 / Hydrated calculator

Try the configuration — live.

The calculator below is preloaded with this preset’s state. Adjust any input — your URL stays shareable.

— 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.

256 px/m8MP / 4K · 3840 PX ACROSS 15.0 MIdentifyDetect25Observe62.5Recognise125Identify250Inspect1000IEC 62676-4 DORI · NOMINAL PIXELS · LENS / LIGHTING / COMPRESSION REDUCE USABLE DETAIL
IndicativeIndicative planning estimate
At a 15.0 metre scene width, a 8MP / 4K camera (3840 horizontal pixels) gives 256 pixels per metre, which is 78 pixels per foot. The DORI tier achieved is Identify. 8MP identifies a face up to ~15.4 m wide; recognises up to ~30.7 m.

Pixel density

256

px/m · 78 px/ft

DORI tier achieved

Identify

≥ 250 px/m

Scene width

15.0

m · 8MP

8MP identifies a face up to ~15.4 m wide; recognises up to ~30.7 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.

resolution
8MP / 4K · 3840 px wide (nominal)
scene width
15.0 m
density
256 px/m · 78 px/ft
achieved
Identify (Establish the identity of an individual beyond reasonable doubt.)

Max scene width per tier — 8MP

TierMin px/mMax width
Detect25154 m(504 ft)
Observe62.561.4 m(202 ft)
Recognise12530.7 m(101 ft)
Identify25015.4 m(50 ft)
Inspect10003.84 m(13 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

A planning link — not a quote.

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