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Camera Design

Design coverage against the scene, not a flat fan.

Place cameras on a terrain- and obstruction-aware site, inspect the actual optical configuration and keep nominal DORI limits separate from field performance.

Camera coverage evidence fixture

DEMO-CAM-01 / manual FOV Unknown area retained

Riverside Logistics Yard

Six cameras · 60,000 m² synthetic site · nominal pixel density

Preview
Synthetic six-camera coverage planSix copper camera frustums surround a central building. Vegetation and an unknown NoData corner remain labelled.BLDG-01VEGETATIONC1C2C3C4C5C6
Surface sourcefixture-site-surface-v1
OpticsManual FOV
Cameras6
FindingOcclusion + unknown
Illustrative layout — frozen synthetic fixture. Nominal DORI is not guaranteed identification.
01 / Design desk

A map-dominant workflow from site to schedule.

The settled analysis is cancellable and tied to the current camera revision. Editing a camera marks its dependent result stale instead of leaving the previous cone looking current.

01

Site

Define the facility boundary and working extent before placing equipment.

02

Source health

Inspect terrain, surface, structures, vegetation and NoData before trusting a result.

03

Camera specification

Choose device geometry and make the sensor and lens assumptions visible.

04

Placement

Position cameras at real mounting heights and orientations around the site.

05

Optical configuration

Use either sensor-derived optics or manual FOV, never both silently.

06

Results and schedule

Review current or stale coverage per camera, then prepare a traceable schedule.

02 / What is modelled

Optical geometry and scene obstruction share one frozen context.

The product separates geometric and nominal pixel-density evidence from lighting, focus, motion, compression and other field conditions that software cannot guarantee.

Three-dimensional frustum

Mount height, bearing, tilt, horizontal and vertical FOV and maximum range intersect the sampled scene.

Transparent optical mode

Sensor-and-lens-derived configuration and manual FOV are mutually exclusive and labelled.

Structures and estimated vegetation

Obstruction classes are visible and a DSM does not silently double-count separate clutter.

Inspectable schedule

Position, height, bearing, tilt, FOV, range, source context and result freshness remain reviewable per camera.

03 / Output boundary

Nominal DORI is an input to design review, not guaranteed identification.

A competent CCTV practitioner still needs to confirm mounting, illumination, target behaviour, focus, compression, privacy and measured performance at the real site.