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Analysis

See what each camera can actually make out.

Where a camera can detect, observe, recognise or identify. Views stop at the walls, a pixel-density map grades every spot per EN 62676-4, and the recorder is sized for the retention you set.

Illustrative preview built for this page. The tool computes the real figures.

place and aim

Views that stop at the walls.

Switch to the CCTV module, pick a camera from the library and click where it mounts. Drag anywhere in the coverage cone to aim it, and choose a ceiling or wall mount per camera: a wall camera snaps flush to the nearest wall and looks into the room. Every view is clipped by the walls, so no camera appears to see through them.

Auto-place covers each area to the target grade with as few cameras as possible; re-aim them to taste. In 3D, every camera and its footprint stand in the room: the quickest way to check mounting heights and the blind spot under each camera.

The CCTV module in the dark theme: camera views clipped by the walls on the near-black plan, and the Inspector sizing the recorder for 14 days of continuous H.265 at 15 fps: a 4-channel NVR, 1 TB of storage and the PoE budget for 3 cameras.
The CCTV module: camera views clipped by the walls on the plan, and the Inspector sizing the recorder for 14 days of continuous H.265 at 15 fps: a 4-channel NVR, 1 TB of storage and the PoE budget for 3 cameras.
The CCTV module: camera views clipped by the walls on the plan, and the recorder sized in the Inspector (demo).

DORI

Pixels per metre, graded per EN 62676-4.

A field of view says what a camera can see; its pixel density says what an operator can make out. The cone is shaded by DORI grade from the camera’s resolution and lens, and the pixel-density map shows the detail everywhere: green where a face can be identified, through yellow to red where a person can only be detected.

Each grade needs a horizontal pixel density, and the distance at which a camera reaches it follows from its horizontal resolution and its field of view. A wider lens covers more, and reaches each grade sooner.

Draw a coverage zone over a critical spot (a door, a till, a gate), set the grade it must meet, and the tool flags any gap in red. The lens calculator converts focal length, field of view and pixel density at a distance for any sensor: the quick answer to whether 4 mm will identify a face at the gate.

DORI grades, in pixels per metre
What an operator can do with a person in view
Identify250 px/m
Recognise125 px/m
Observe63 px/m
Detect25 px/m
A coverage zone can also ask for
Plate (LPR)400 px/m

how it works

Check the detail, not only the field of view.

Place and aim CCTV camerasTask guide 09 · 3 min

  1. Choose a camera

    Choose CCTV → Library, search for a model and open Details. Review resolution, lens and field of view before choosing the device.

  2. Aim and check image detail

    In CCTV tools, enable Show FOV / DORI coverage. Drag the camera’s circular aiming handle to turn it, then press Escape to finish. Enable Show pixel-density map to check the required detail at entrances and other critical positions.

  3. Review recording requirements

    Use Results for coverage, recording mode, retention, codec and frame-rate settings. Use Equipment to inspect the proposed cameras, recorder and network devices, then check recording channels, storage and PoE capacity.

Keep in mind

A location inside the field of view may still lack sufficient image detail. Check the indicated pixel density or DORI grade at the required distance.

the map

Detail you can read off the floor.

The pixel-density map paints the whole plan, so the gaps between cameras and the far ends of a long room are plain to see before anything is bought.

CCTV pixel-density map on the dark plan: 2MP dome cameras in the dining room, bar and terrace, green near each camera where a face can be identified and orange to red where a person can only be detected, the private dining room without a camera, and the tool’s legend from detect at 25 px/m to licence plates at 500 in the terrace’s corner.
CCTV pixel-density map: 2MP dome cameras in the dining room, bar and terrace, green near each camera where a face can be identified, through yellow to orange and red further away where a person can only be observed or detected, and the private dining room without a camera.
The pixel-density map: green near each dome camera where a face can be identified, through yellow and orange to red where a person can only be observed or detected (demo).

recorder and storage

The recorder, sized for the retention.

The results panel picks the NVR, checking its channels and PoE budget against your cameras, and sizes the disks from the retention in days, the resolution, the frame rate, the codec and the recording mode, continuous or on motion. The recorder serves the whole building, so it is sized for the cameras on every floor.

The card shows the total bitrate, the gigabytes a day and the recommended disk, then a PoE audit: what the cameras draw from the NVR’s budget and what the switch supplies. Treat the bitrate as an estimate and check it against the cameras on site.

Cameras and the recorder are priced lines in the proposal, as a CCTV group, and Camera and NVR rows in the bill of materials. Add your own camera from its datasheet (megapixels, sensor, lens or field of view, IR range, PoE draw) and it behaves like a built-in one.

The CCTV recorder card in the dark theme: 3 cameras at 6.6 Mbps and 18 W of PoE, 14 days of continuous H.265 at 15 fps, a 4-channel NVR and 1 TB of storage at about 71 GB a day, with a 2 TB disk recommended, and the PoE audit: the cameras draw about 18 W of the NVR’s 60 W budget, and the switch about 39 W of the 45 W it supplies.
The CCTV recorder card: 3 cameras at 6.6 Mbps and 18 W of PoE, 14 days of continuous H.265 at 15 fps, a 4-channel NVR and 1 TB of storage at about 71 GB a day, with a 2 TB disk recommended, and the PoE audit: the cameras draw about 18 W of the NVR’s 60 W budget, and the switch about 39 W of the 45 W it supplies.
The recorder card for 3 cameras: 14 days of continuous H.265 at 15 fps, a 4-channel NVR and 1 TB at about 71 GB a day, with the PoE audit beneath (demo).

in figures

CCTV, in figures.

cameras in the catalogue
34
NVRs in the catalogue
12
to identify a face
250 px/m
retention sized in the demo
14 days
What the recorder card is sized from
RetentionDays to keep; 14 in the demo
RecordingContinuous or on motion
CodecH.265 or H.264
Frame rateFrames per second; 15 in the demo
SceneLow, medium or high activity
OutNVR channels, storage, gigabytes a day and a PoE audit

questions

Questions, answered plainly.

Is a camera that sees the door enough to identify who comes in?

Not always. A spot inside the field of view may still lack the detail you need. Check the pixel density or the DORI grade at the distance that matters, or draw a coverage zone there with the grade it must meet.

Is the DORI map a test of the installed camera?

No. It predicts pixel density from the camera’s resolution, lens and position, graded per EN 62676-4, to plan with. Confirm the image on site.

Can I add a camera that is not in the library?

Yes. Add your own camera model with its megapixels, sensor, lens or field of view, IR range and PoE draw; it is kept across every project and works like a built-in one, in DORI, schedules, the rack, wiring and reports. Recorders work the same way.

Ready when the client is.

Draw it, check it, show it, price it and hand it over, from one project.

15-day trial for approved companies. No card, nothing to cancel.

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