How Are Commercial CCTV Systems Designed for Real Coverage?

CCTV design starts from the evidence requirement per camera — detection, recognition, or identification — then engineers camera, lens, placement, lighting, network, and storage to deliver it. Pixel density at the target distance is the governing calculation; most failed systems were never designed to it. The mindset shift is from 'cameras' to 'views.' Nobody cares how many cameras are on the building; they care whether the entrance view can identify a person and the lot view can read a plate. Every camera in my designs has a named view and a stated purpose.

Camera placement follows the views: entrances get identification-grade coverage with controlled lighting; perimeters get detection with overlapping fields; interiors get recognition at chokepoints like lobbies and corridors. Mounting height is a real design variable — too high and you get the tops of heads; the identification views want face-level angles. The network and power design runs in parallel: PoE budgets per switch, cable distances within Ethernet limits (or fiber beyond them), and storage servers sized to the retention math. I coordinate camera locations with lighting and architecture early, because the best camera position is useless if the facade design won't accept a mount there.

The test of a CCTV system is simple: when something happens, can you see who did it? The design has to be built around that question. My CCTV standards:

• Views defined per camera: detection, recognition, or identification stated for every camera location
• Pixel density calculated: pixels-per-foot verified at the target distance for identification views
• Lighting coordinated: subject illumination verified day and night, backlighting solved, not ignored
• Storage sized to retention: server capacity from the written retention requirement, with growth headroom
• Commissioning by view: every camera's recorded image reviewed against its stated purpose before acceptance