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Fundamentals

How Far Can a CCTV Camera Identify Someone? The Pixel Arithmetic

FM Ansivue Engineering CCTV system design team Published 8 min read
Engineers marking camera positions and view widths on a floor plan
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A 5 MP camera is 2880 pixels wide, and identification needs roughly 250 pixels per metre. Those two numbers fix the limit without reference to how far the camera stands from the subject: it identifies across a view that is 11.5 m wide, and anything wider is recognition, observation or detection. Distance only enters through the lens.

That is the answer most buyers are looking for when they ask how far a camera sees, and it is also the answer that gets ignored on site. A camera bought for its megapixels is then mounted to cover a yard 40 m wide, and the footage that comes back shows a figure, not a face. The arithmetic below fixes the drawing before the order is placed.

What do detection, recognition and identification mean in numbers?

The levels are defined by pixel density at the subject, not by camera distance. The scale in common use comes from IEC 62676-4 and is quoted in most European tenders; each level is expressed as pixels per metre at the plane where the subject stands, derived from the pixels falling across a 16 cm face.

LevelPixels per metrePixels across a 16 cm faceView width on a 2880-pixel sensor
Detection — something is there254115 m
Observation — a person, their direction631046 m
Recognition — the same person as before1252023 m
Identification — a face good enough to name2504011.5 m

Two cautions before the numbers are used in a specification. First, some guidance argues for 80 pixels across a face rather than 40 wherever the light is poor or people are not looking at the camera, which doubles the density asked for — 500 px/m. Second, the density is measured at the plane of the subject and at the resolution actually recorded: a main stream compressed hard, or a frame grabbed at the wrong moment, will not hold the level the drawing promised.

How do you work it out for a position you are standing in front of?

Measure the width the camera will cover at the plane of interest — a doorway, a counter, a gate line, the near edge of a yard — and divide the image width by it. Nothing else is needed for a first pass, and the answer is what the drawing should carry.

View width at the subjectPixels per metre (2880 px)What the frame supports
2 m1440Faces, hands, documents, small labels
4 m720Clear identification; readable packaging
6 m480Identification with margin; plate reading at the right angle
11.5 m250Identification limit
15 m192Recognition — same person as before
23 m125Recognition limit
40 m72Observation
60 m48Detection with direction of travel
115 m25Detection limit

This is the table that settles arguments about megapixels. "How far can this camera see" is the wrong question, because the camera has no distance limit — it has a view width limit. The right question is "how wide is the thing I need to identify, and where does the camera stand". A camera 40 m from a door it covers across 6 m identifies perfectly; the same camera 4 m from a car park ramp it covers across 30 m does not.

What do the numbers come out to on a real building?

Run the widths from a typical drawing through the same arithmetic. Every fixed camera in our range — the FC5B bullet and the FC5D dome — is 5 MP at 2880 × 1620, so the third column is what these positions actually produce.

PositionView width at the subjectPixels per metreWhat the operator gets
Entrance door, aimed across the opening2 m1440Identification with a wide margin
Reception counter and desk4 m720Identification, plus documents on the desk
Lift lobby6 m480Identification of anyone at the doors
Warehouse aisle20 m144Recognition along the racking
Car park aisle30 m96Observation; vehicles and movement
Perimeter road60 m48Detection, direction of travel
Yard, single wide camera115 m25Detection at the limit — a figure, at best

Our 5 MP bullet and dome cameras are built for the first three rows: at a counter or a lobby the density is far past what a review needs, which is why the design effort belongs in the last three. A wide yard camera is a detection device whatever its resolution, and the honest way to cover a yard is a chain of positions with narrower views rather than one expensive camera in the corner.

Why does mounting height make it worse?

Because the camera measures its distance along the line of sight, and height adds to that line. A camera 3 m up looking at a subject 15 m away measures 15.3 m — a 2 per cent loss nobody notices. The same camera 5 m up looking at a subject 8 m away measures 9.4 m, an 18 per cent loss, and the view width is fixed while the distance grows: density falls with it.

Height then costs a second time, in angle. A face seen from 30 degrees above is foreshortened into the top of a head, and eye spacing — the detail identification actually runs on — is compressed by the same amount. Front-door and till cameras are happiest between about 2.5 m and 3.5 m: high enough that nobody reaches them from the ground, flat enough that a face stays a face. Above 4 m there has to be a reason — vandalism, a forklift, a loading bay — and the answer is then a narrower angle of view from further back, not a steeper look down.

When does a PTZ replace three fixed cameras?

Zoom is the only honest way to hold a narrow view from a long way off, and it can be calculated the same way. To keep an 11.5 m identification width at 20 m the lens needs about 32 degrees horizontally; at 50 m, 13 degrees; at 150 m, 4.4 degrees. Our FC5P PTZ speed dome carries a 36× optical zoom on a 4.6–167 mm lens, so those angles are reachable, and it lists 150 m of infrared — that figure is the reach of the illuminator, not an identification distance, and the two are routinely confused in quotations.

What a PTZ does not do is watch everything at once. It is one view at a time: a preset tour revisits a scene every few minutes, and the event that matters usually happens between visits. Use it where an operator is watching, or where a scene needs to be inspected on demand, and keep fixed cameras on the doors and counters that must never be missed. The practical mix on most sites is fixed cameras for evidence and one PTZ for the wide view and the far gate.

What does detail cost in storage and bandwidth?

The sensor does not charge for pixels; the recorder does. Our cameras run the main stream at 500–8000 kbps and the sub-stream at 50–2000 kbps, so the same 5 MP camera can cost 21 GB a day or 84 GB a day depending on how the stream is set.

Main-stream bitratePer camera, per day30 days, one camera30 days, four cameras
2 Mbps21 GB633 GB2.5 TB
4 Mbps42 GB1.27 TB4.9 TB
8 Mbps84 GB2.53 TB9.9 TB

That table is the argument for putting density only where a review will happen. Recording every camera at 8 Mbps because the site might need it is how a 16-channel project turns into a 32-channel recorder and a disk order; the NVR range lists channel counts and drive bays so the storage can be sized from the arithmetic rather than from a habit. Live views on the monitor can come from the sub-stream, which leaves the main stream for the recording. Retention maths on its own is worked through in our storage guide.

What should be written on the drawing?

Five things per position, and the design survives its first site visit. Without them, the same argument is had again at handover, with a camera already in the wall.

  • View width at the plane of the subject, in metres — measured on the plan, not estimated from the ceiling.
  • Task level for that position: detect, observe, recognise or identify, and why that level and not the next one down.
  • Pixels per metre that follows from the two numbers above, with the sensor width stated so the sum can be checked by anyone.
  • Mounting height and tilt, so the person installing it is not free to choose a better view of the ceiling.
  • What happens if the level is missed — a second position, a narrower lens, or an accepted downgrade written down as a decision.

The point of the arithmetic is not precision to the last pixel. It is that the site can be argued about on paper, at the price of a drawing, rather than in a review meeting six months later, at the price of an incident nobody can identify. If you send us a plan with view widths marked on it, our system planner returns a position list with densities, streams and storage already costed, and a quotation that follows from it rather than from a camera count.

Frequently asked questions

Is 5 MP enough to identify a face at 20 m?

Not across a 20 m view. A 5 MP sensor is 2880 pixels wide, so a 20 m view gives 144 px/m — recognition territory, not identification. To identify at 20 m the camera has to cover no more than 11.5 m of width at that distance, which means a narrower lens angle or a zoom position, not more megapixels.

Does more resolution fix a long view?

It moves the line, it does not remove it. Doubling the horizontal pixel count doubles every distance in the table — an 8 MP view identifies at roughly twice the width of a 5 MP view at the same angle. It also doubles the bitrate bill, and it still cannot correct a face turned away, a camera 6 m up, or backlight from a window.

What pixel density does a number plate need?

Higher than a face: plates are read from roughly twice the density, around 500 px/m at the plate plane, because the characters are small and must be sharp enough to type. On a 5 MP sensor that is a view 5.8 m wide, which is why a plate camera is a separate position from the camera watching the same gate.

Can I identify from the sub-stream to save storage?

No. The sub-stream is the view you put on a monitor or a phone: our cameras run it at 50–2000 kbps against 500–8000 kbps on the main stream, and it is smaller in every direction. Record the main stream where a review might happen, and use the sub-stream for live wallpaper.

Why does identification work in daylight and fail after dark?

Density is fixed by the sensor and the view width; light changes how many of those pixels carry usable signal. A face lit from behind at dusk, or a subject moving across the frame at 25 fps, produces blur and noise that no resolution recovers. Add light or slow the subject, or move the camera — buying pixels does not help.
Topics cctv identification distance pixel density cctv how far can a security camera see 5mp camera distance dori pixel per metre ptz zoom identification

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