Related tools
Calculate pixels per meter or estimate camera field of view.
What Does DORI Mean?
DORI is a planning shorthand for Detection, Observation, Recognition, and Identification pixel-density levels.
DORI Pixel Density
This calculator uses planning thresholds of Detection 25 px/m, Observation 63 px/m, Recognition 125 px/m, and Identification 250 px/m.
Why Resolution Affects DORI Distance
More horizontal pixels across the same view generally increase pixel density and theoretical DORI distance.
Why Field of View Affects DORI Distance
A narrower FOV concentrates the same pixels across a smaller scene width, increasing pixel density at distance.
DORI Is Not a Performance Guarantee
Lighting, focus, lens quality, compression, motion blur, angle, and obstruction can all affect real usable detail.
Example DORI Distance Calculation
With 1920 horizontal pixels and 90° HFOV, Detection is about 38.4 m, Recognition about 7.68 m, and Identification about 3.84 m.
FAQ
What does DORI mean in CCTV?
Detection, Observation, Recognition, and Identification planning levels.
What is 25 pixels per meter?
A common Detection planning threshold used for rough design estimates.
How many pixels per meter are needed for identification?
This calculator uses 250 px/m as the Identification planning threshold.
Does 4K increase DORI distance?
If HFOV stays the same, doubling horizontal pixels roughly doubles the theoretical pixel-density distance.
Does a narrower lens increase DORI distance?
Yes, for the same resolution, a narrower HFOV concentrates pixels and increases theoretical DORI distance.
Is DORI distance guaranteed?
No. Pixel density is only one planning input.
Does lighting affect identification?
Yes. Lighting, shutter speed, WDR/noise, and motion blur can strongly affect usable detail.
Is DORI the same as facial recognition?
No. DORI Identification is a pixel-density planning level, not automated facial-recognition accuracy.