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PPF Guidelines and Recommendations


What is PPF?

PPF (Pixels Per Foot) indicates the level of detail captured by a camera. It’s calculated using the formula:

PPF = Horizontal Pixels / Field of View Width

In this formula, the Field of View Width is the width (in feet) of the area captured by the camera at the target distance.


Calculating PPF at the Target Distance

When the FoV width is measured directly at the target distance, you can calculate the PPF with a simple division. For example, a 1080p camera with 1920 horizontal pixels covering a 10‑foot wide area gives:

PPF = 1920 / 10 = 192

This means there are 192 pixels for every foot in the captured image.


Maintaining High Quality at Greater Distances

For high-quality imaging—essential for tasks such as facial recognition and license plate reading—a PPF between 60 and 180 (or around 192 in our examples) is ideal. With higher resolution, you can increase the FoV width (or distance to target) while still maintaining the desired PPF.


Example PPF Calculation Chart

The table below shows recommended examples for various camera resolutions. The recommended FoV width is calculated using the formula:

FoV Width = Horizontal Pixels / Target PPF (with a target PPF ≈ 192 for high quality).

Camera Resolution Horizontal Pixels Recommended FoV Width (ft) Calculated PPF Quality Category
1080p 1920 10.0 1920 ÷ 10 = 192 High Quality
3 MP 2048 2048 ÷ 192 ≈ 10.7 2048 ÷ 10.7 ≈ 191.3 High Quality
5 MP 2560 2560 ÷ 192 ≈ 13.3 2560 ÷ 13.3 ≈ 192.5 High Quality
8 MP 3840 3840 ÷ 192 = 20.0 3840 ÷ 20 = 192 High Quality
12 MP 4000 4000 ÷ 192 ≈ 20.8 4000 ÷ 20.8 ≈ 192.3 High Quality
16 MP 5120 5120 ÷ 192 ≈ 26.7 5120 ÷ 26.7 ≈ 191.8 High Quality

These examples demonstrate that as the resolution increases, the camera can cover a wider area (or a further target distance) while still maintaining a high-quality PPF.


Additional Considerations

While resolution and FoV width are critical for calculating PPF, other factors can also affect the final image quality:

  • Lighting conditions
  • Image compression and overall image quality
  • Lens quality and distortion
  • Camera angle and alignment
  • Specific application requirements

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