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CCTV Pixels Per Foot Calculator

Q: How do you calculate CCTV pixels per foot?

Divide the camera image’s horizontal pixel count by the horizontal scene width in feet at the target distance.

Q: Is more PPF always better?

More pixel density can improve detail, but a technically high PPF view can still fail because of motion blur, poor lighting, angle or focus.

Q: What is DORI in security cameras?

DORI is a planning framework for detection, observation, recognition and identification tasks; real evidentiary performance still requires testing.

Will your camera actually capture a usable face or license plate — or just a blur? Enter the resolution and how wide a view it covers. PPF tells you the truth before you mount anything.

Calculate your PPF

Camera resolution Scene width the camera covers (ft)

PPF reference chart

PPF	Level	What you actually get
60–80+	Identify+	Faces & plates in hard conditions (night, motion)
40–60	Identify	Court-usable ID of an unknown person
20–40	Recognize	Tell who a known person is
10–20	Observe	Clothing, actions, direction — not a positive ID
<10	Detect	Something moved. That's it.

Rule of thumb: PPF = horizontal pixels ÷ scene width (ft). A 4K camera spread across a whole parking lot can be worse for ID than a 2MP camera tight on a door.

Why it matters

One camera can't do both jobs

Wide = context

A wide lens shows the whole scene but spreads pixels thin. Great for what happened — useless for who did it.

Tight = identity

A narrow view at a door or gate concentrates pixels where faces pass. That's your evidence camera.

Pros pair them

Professional layouts put overview + identify cameras together. Our free Camera Placement Tool shows the cones on your real property.

Answers

PPF questions

What is pixels per foot?

How many horizontal pixels land on each foot of your scene — the standard measure of whether footage can identify a face or read a plate. PPF = horizontal resolution ÷ scene width in feet.

How many PPF for a face or plate?

40+ PPF for reliable identification, 60–80+ for plates at night or moving targets. 20–40 recognizes a known person; under 20 you're only observing activity.

How do I raise PPF without a new camera?

Narrow the view — longer lens or closer mount — so the same pixels cover fewer feet. Use our lens calculator to find the right mm for your distance.

Want the angles designed for you?

Hi-Tech designs identify + overview coverage for Cleveland, Akron and Canton properties — free plan review, no obligation.

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How to use the CCTV pixels per foot calculator

CCTV pixels per foot, or PPF, is horizontal image resolution divided by the real scene width in feet. It estimates how much image detail covers a subject at that location. Higher PPF can support finer detail, but angle, focus, compression, motion, exposure and lighting still decide whether evidence is usable.

Use it in three steps

Select the camera’s actual horizontal pixel resolution rather than its marketing megapixel label.
Measure the scene width at the distance where the person, vehicle or object will appear.
Compare the calculated PPF with the task, then validate the real image under expected day, night and motion conditions.

Know the limit

PPF is a planning metric, not a promise of recognition or identification. It does not account for vertical angle, blur, compression artifacts, occlusion, poor focus or challenging light.

Questions people ask

How do you calculate CCTV pixels per foot?

Divide the camera image’s horizontal pixel count by the horizontal scene width in feet at the target distance.

Is more PPF always better?

More pixel density can improve detail, but a technically high PPF view can still fail because of motion blur, poor lighting, angle or focus.

What is DORI in security cameras?

DORI is a planning framework for detection, observation, recognition and identification tasks; real evidentiary performance still requires testing.

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