मुफ्त टूल · IEC 62676-4 · EN 62676

CCTV कैमरा लेआउट और कवरेज कैलकुलेटर

IEC 62676-4 / EN 62676 के अनुसार औद्योगिक और सबस्टेशन CCTV लेआउट की योजना बनाएं। FOV फुटप्रिंट, पिक्सेल घनत्व, ओवरलैप के साथ आवश्यक कैमरा गिनती, केबल लंबाई और PoE पावर बजट की गणना करें।

कैमरा कॉन्फ़िगरेशन
Zone Definition
0 = लागू नहीं
0 = लागू नहीं
अनुशंसित: 0.20 (20%)
Cable & Power
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Enter camera parameters and click Calculate

Frequently Asked Questions

What is IEC 62676-4?

IEC 62676-4 is the part of the IEC 62676 Video Surveillance Systems for use in Security Applications standard that specifies application guidelines. It defines the Identification (≥250 px/m), Recognition (≥125 px/m), and Detection (≥62 px/m) pixel-density thresholds used to verify whether a camera placement achieves the required surveillance purpose. It supersedes earlier EN 50132-7 classification terminology in industrial and substation applications.

Difference between Identification (250 px/m), Recognition (125 px/m), and Detection (62 px/m)?

Identification (≥250 px/m) — sufficient resolution to identify an individual with high certainty, e.g., for forensic use or positive ID at an access gate. Recognition (≥125 px/m) — sufficient to recognize a previously known person, clothing, or vehicle type. Detection (≥62 px/m) — sufficient to detect the presence and direction of movement of a person or large object. Below 62 px/m the image quality is considered inadequate per IEC 62676-4 §5.3.3.

How is the recommended camera count calculated?

Camera count uses two bases: (1) Perimeter basis: cameras_perimeter = ⌈zone_length / (fov_width × (1 − overlap))⌉, and (2) Area basis: cameras_area = ⌈zone_area / (fov_width × fov_depth × (1 − overlap))⌉. The required count is the maximum of the two. If only one zone dimension is non-zero, the other basis returns 0 and is ignored. This approach covers both linear perimeter fencing and two-dimensional area surveillance.

What overlap factor should I use?

IEC 62676-4 recommends a minimum 20% overlap (overlap_factor = 0.20) to avoid coverage gaps at zone edges caused by terrain, obstructions, or lens distortion at the periphery. For high-security perimeters with dense vegetation or uneven terrain, 30% (0.30) is common. Fisheye cameras with heavy barrel distortion may require up to 40% overlap because the effective px/m degrades significantly toward the image edges.

802.3af vs 802.3at PoE — when do I need to upgrade?

802.3af (PoE) delivers up to 15.4 W per port — adequate for fixed dome cameras up to ~12 W. 802.3at (PoE+) delivers up to 30 W per port — required for PTZ cameras (typically 20–25 W) and cameras with integral IR illuminators or heater assemblies. When the per-camera power draw (poe_camera_w) exceeds 15.4 W this tool flags a budget failure and recommends upgrading to 802.3at. IEEE 802.3bt (PoE++) delivers up to 90 W but is not yet modeled in this calculator.

Why does fisheye need special px/m handling?

A fisheye lens produces a circular image with severe barrel distortion. The nominal pixel-per-meter density at the image center is high, but it degrades rapidly toward the periphery. IEC 62676-4 px/m checks should be applied to the worst-case edge of the FOV, not the center average. This calculator uses the horizontal FOV width at the monitoring distance to compute px/m, which approximates the center-line value. For fisheye cameras with 180° FOV, the effective px/m at the image edge may be 3–5× lower than the center value — plan accordingly and apply generous overlap factors.