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CCTV DORI Distance Calculator (EN 62676-4)

Calculate EN 62676-4 CCTV DORI detection, observation, recognition, and facial identification reach distances based on sensor resolution and lens optics.

Input Parameters

Try Example:
m
1200

Calculation Results

Target Subject Distance
10 Meters
Camera Sensor Resolution
1080p
Lens Focal Length
4 mm
Horizontal Field of View (HFoV)
80 °
Scene Coverage Width at Target
16.5 Meters
Pixel Density at Target (PPM)
116 px/m
DORI Evaluation at Target Distance
Observation (62+ PPM - Activity Observation)
Max Detection Distance (25 px/m)
46.5 Meters
Max Observation Distance (62 px/m)
18.8 Meters
Max Recognition Distance (125 px/m)
9.3 Meters
Max Identification Distance (250 px/m)
4.7 Meters
Want to compare 2 design options side-by-side (e.g., Scenario A vs Scenario B)?
⚡ CCTV & PoE Hardware Advisory
Switch Managed PoE+ IEEE 802.3at + Kabel UTP Cat6 Pure Copper
HDD Surveillance CMR 24/7 (WD Purple / Seagate SkyHawk)

Use 24/7 CMR surveillance drives in NVRs and solid bare copper Cat6 for PoE runs exceeding 50 meters.

Material Requirement Summary (Copy-Ready)
Kalkulator Standar DORI CCTV (EN 62676-4) – InfraCalc.web.id
Kamera & Lensa : 2 MP (1080p Full HD - 1920×1080) @ Lensa 4mm (FoV ~80°)
Jarak Pantau   : 10 meter (Lebar Pandang FoV: 16.5 m)
Kerapatan Riil : 116 PPM (Observation (62+ PPM - Observasi Aktivitas))
Jangkauan Standar DORI:
 - Deteksi (25 PPM)      : s/d 46.5 m
 - Observasi (62 PPM)  : s/d 18.8 m
 - Pengenalan (125 PPM)  : s/d 9.3 m
 - Identifikasi (250 PPM): s/d 4.7 m
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Technical Accuracy Note: Calculation results are engineering estimates based on standard RFC/IEEE/ITU-T models. Actual field performance may vary due to protocol overhead, hardware specifications, and environmental factors.

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How to Use This Tool

  1. Specify your intended surveillance target distance in meters from the camera.
  2. Select camera sensor resolution (1080p Full HD, 4MP 2K QHD, or 4K 8MP Ultra HD).
  3. Choose lens focal length (2.8mm, 4mm, 6mm, or 12mm) to evaluate boundary distances across all DORI tiers.

Worked Example: Standard 1080p Lens 4mm @ 10m Distance

Worked example: A 1080P camera with a 4mm lens at 10 meters delivers an effective density of 116 PPM (Observation (62+ PPM - Activity Observation)). Standard DORI distance thresholds: Detection up to 46.5m, Observation up to 18.8m, Recognition up to 9.3m, and Facial Identification up to 4.7m.

Example Input
Target Distance
10 Meters
Camera Sensor Resolution
2 MP (1080p Full HD - 1920×1080)
Lens Focal Length
4 mm (Standard ~80°)
Calculated Output
Target Subject Distance
10 Meters
Camera Sensor Resolution
1080p
Lens Focal Length
4 mm
Horizontal Field of View (HFoV)
80 °
Scene Coverage Width at Target
16.5 Meters
Pixel Density at Target (PPM)
116 px/m
DORI Evaluation at Target Distance
Observation (62+ PPM - Activity Observation)
Max Detection Distance (25 px/m)
46.5 Meters
Max Observation Distance (62 px/m)
18.8 Meters
Max Recognition Distance (125 px/m)
9.3 Meters
Max Identification Distance (250 px/m)
4.7 Meters
Material Requirement Summary (Copy-Ready)
Kalkulator Standar DORI CCTV (EN 62676-4) – InfraCalc.web.id Kamera & Lensa : 2 MP (1080p Full HD - 1920×1080) @ Lensa 4mm (FoV ~80°) Jarak Pantau : 10 meter (Lebar Pandang FoV: 16.5 m) Kerapatan Riil : 116 PPM (Observation (62+ PPM - Observasi Aktivitas)) Jangkauan Standar DORI: - Deteksi (25 PPM) : s/d 46.5 m - Observasi (62 PPM) : s/d 18.8 m - Pengenalan (125 PPM) : s/d 9.3 m - Identifikasi (250 PPM): s/d 4.7 m

Core Concept & Engineering Notes

The international standard EN 62676-4 establishes an authoritative, objective engineering benchmark for designing, auditing, and validating video surveillance camera deployments through physical pixel density metrics. Widely recognized across the global physical security engineering industry by the acronym DORI, this framework categorizes optical acuity into four distinct operational criteria: Detection, Observation, Recognition, and Identification. The baseline tier is Detection, strictly defined at 25 PPM (pixels per meter). At this threshold, security personnel or automated computer vision detection pipelines can reliably verify human presence against outdoor background terrain, though distinguishing personal identity remains impossible. The second tier, Observation (62.5 PPM), yields sufficient scene resolution to examine characteristic attributes such as apparel coloration, carried baggage, or directional body movement. The third tier is Recognition (125 PPM), empowering operators to verify whether an individual matches a previously known acquaintance, coworker, or registered authorized staff member beyond reasonable doubt. The paramount tier is Identification (250 PPM). This stringent threshold serves as the authoritative forensic benchmark for presenting undeniable evidence in judicial proceedings, enabling unequivocal facial identification of unfamiliar criminal suspects. Pixel density correlates directly with sensor horizontal pixel resolution and inversely with physical scene width at target distance. This calculator models optical focal lengths and sensor dimensions to deliver rigorous DORI operational boundary distances for any surveillance installation.

How It Was Calculated (Formulas & Steps)

Frequently Asked Questions (FAQ)

What is the key legal difference between Recognition (125 PPM) and Identification (250 PPM)?

Recognition (125 PPM) suffices to determine whether an individual is someone already known to the observer (such as an employee). Identification (250 PPM) represents the forensic legal standard enabling law enforcement to identify unfamiliar suspects from criminal registries with definitive certainty.

How can I extend DORI identification reach without rerunning existing cabling?

You can either upgrade the camera body to a higher sensor resolution (e.g., from 2MP to 4K) to multiply available horizontal pixels, or swap to a narrower telephoto lens (such as from 2.8mm to 6mm or 12mm) to concentrate optical resolving power on distant subjects.

Does night-time infrared (IR) illumination affect DORI standard compliance?

While geometric PPM thresholds remain identical, night-time monochrome IR introduces sensor noise and risks facial overexposure (white-out) from proximity LEDs. Engineers recommend budgeting a 20–30% pixel safety margin or adopting Smart IR / full-color low-light sensors for critical night surveillance.

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References & Notes

Last updated: Technically Verified · Industry Standard

Note: Results above are mathematical estimates based on standard formulas. Always verify against official vendor documentation and site conditions before production deployment.

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🔬 Scientific Methodology & Normative Verification

Engineering Sensitivity Analysis, Response Curve & Technical Citation

✓ Calibrated to ISO/IEC/IEEE/TIA Clauses

1. 1. 3-Point Engineering Sensitivity & Tolerance Envelope

Comparative evaluation across theoretical laboratory bounds (0% loss), current nominal operating point, and conservative field safety bounds (±15% thermal/aging derating).

Evaluated Parameter Ideal Theoretical Bound Nominal Operating Point Conservative Safety Bound (±15%) Engineering Derating Rule
Target Subject Distance 9 10 11.5 Engineering Safety Margin (+15% Overhead)
Camera Sensor Resolution 972 p 1,080 p 1,242 p Engineering Safety Margin (+15% Overhead)
Lens Focal Length 3.6 4 4.6 Engineering Safety Margin (+15% Overhead)
Horizontal Field of View (HFoV) 72 80 92 Engineering Safety Margin (+15% Overhead)
Scene Coverage Width at Target 14.85 16.5 18.97 Engineering Safety Margin (+15% Overhead)

2. 2. Mathematical Function Curve & Operating Coordinate (x₀, y₀)

MATHEMATICAL RESPONSE CURVE: TARGET SUBJECT DISTANCE VS TARGET SUBJECT DISTANCE Conservative Engineering Bound (+15% Safety Margin) 4 6 8 10 12 14 16 (x₀=10, y₀=10) Variabel Independen (x): Target Subject Distance

3. 3. Physical Constants & Normative Standard Clauses

D_Identify = 250 px/m BS EN 62676-4:2015 (IEC 62676-4)

Minimum Horizontal Pixel Density for Identification (DORI)

Clause 6.5 & Table A.1 (25 / 62 / 125 / 250 px/m) — Video surveillance standard specifies Detection=25 px/m, Observation=62 px/m, Recognition=125 px/m, Identification=250 px/m.

R_loop(Cat6, 20°C) = 14 Ω/100m ANSI/TIA-568.2-D & IEEE 802.3bt

DC Loop Resistance for 23 AWG Solid Copper Cat6

Clause 6.4.1 / Table 145-1 — Nominal 23 AWG solid copper loop resistance at 20°C is 14.0 Ω/100m (TIA maximum ceiling is 18.8 Ω/100m).

α_Cu(20°C) = 0.00393 °C⁻¹ IEC 60028

Temperature Coefficient of Resistance for Copper

International Annealed Copper Standard — Used in thermal derating equation: R(T) = R_20 × [1 + 0.00393 × (T - 20)].

4. 4. Independent Technical & Academic Citation (IEEE / APA 7th / BibTeX / LaTeX)

Use the standard citation formats below to reference this computational methodology in engineering specifications, audit reports, or academic papers.

Format IEEE & APA 7th Edition

[IEEE] KalkuNet Engineering Team, "CCTV DORI Distance Calculator (EN 62676-4) — Standard Engineering Computational Instrument," KalkuNet Technical Suite, 2026. [Online]. Available: https://kalkunet.com/en/tools/dori-calculator. [Accessed: 2026-11-08].

[APA 7th] KalkuNet Engineering Team. (2026). CCTV DORI Distance Calculator (EN 62676-4) (Production release 2026-11-08) [Engineering computational software]. KalkuNet. https://kalkunet.com/en/tools/dori-calculator

BibTeX & LaTeX Derivation Snippet
@software{kalkunet_dori_calculator_2026,
  author = {{KalkuNet Engineering Team}},
  title = {{CCTV DORI Distance Calculator (EN 62676-4) --- KalkuNet Engineering Suite}},
  year = {2026},
  publisher = {KalkuNet.com},
  url = {https://kalkunet.com/en/tools/dori-calculator},
  urldate = {2026-11-08}
}

% LaTeX Engineering Derivation — Generated via https://kalkunet.com/en/tools/dori-calculator
\begin{equation}
  \text{Model: } Detection: 25 PPM (Operator confirms presence of a human subject)
\end{equation}
% Parameter Input Terukur: targetDistM = 10, \; resolution = 1080p, \; focalMm = 4
% Hasil Evaluasi Numerik : targetDistM = \mathbf{10}, \; resolution = \mathbf{1080p}, \; focalMm = \mathbf{4}