Video Frames Per Second Storage Calculator

Video Frames Per Second Storage Calculator

Estimate video storage from the average encoded frame size, frame rate, recording time, and number of cameras. Use a representative average frame size for your camera and compression settings; actual storage varies with scene activity, compression, and recording settings. Storage is expressed in decimal GB (1 GB = 1,000,000,000 bytes).
Estimated Storage:
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Estimating how much space security footage will need can help you choose a recorder, plan a retention period, and avoid running out of storage sooner than expected. The video frames per second storage calculator estimates recording space using your average encoded frame size, frame rate, recording time, and number of cameras.

The result is expressed in decimal gigabytes (GB), where 1 GB equals 1,000,000,000 bytes. Because security camera footage changes with motion, scene detail, and compression settings, treat the result as a planning estimate rather than a guaranteed file size.

What the Video Frames Per Second Storage Calculator does

The Video Frames Per Second Storage Calculator estimates the space needed to store encoded video over a specified period. It combines the average size of an encoded frame with the number of frames recorded each second, then extends that figure across the recording time and camera count.

This approach is useful when you have a representative average frame size for your camera and its recording settings. For example, you might use it to estimate the space required for one camera recording continuously for a day or several cameras recording for the same number of hours.

The calculation assumes that every camera uses the same average encoded frame size and frame rate throughout the entered recording period. It estimates video data only; audio, metadata, filesystem overhead, and storage redundancy are excluded.

How to use the Video Frames Per Second Storage Calculator

Enter the following information to get your Estimated Storage:

  1. Average encoded frame size (KB): Enter the average size of a compressed, or encoded, video frame in decimal kilobytes. Use an average that includes both larger keyframes and smaller interframes.
  2. Frame rate (frames per second): Enter how many frames each camera records per second. For example, 30 frames per second means the camera records 30 frames every second.
  3. Recording time (hours): Enter the number of hours each camera will record. For a continuous 24-hour period, enter 24.
  4. Number of cameras: Enter how many cameras use the same average frame size, frame rate, and recording time.

The calculator displays Estimated Storage in GB, rounded to two decimal places. If the cameras use different settings, calculate each group separately and add the estimates. For instance, cameras recording at 15 frames per second should be calculated separately from cameras recording at 30 frames per second if their other settings also differ.

Choose an average frame size based on footage that represents the conditions you expect. A quiet indoor scene may compress differently from a busy outdoor entrance, even when both cameras use the same resolution and frame rate. The default values are illustrative assumptions, so replace them with values that suit your setup when available.

How the Video Frames Per Second Storage Calculator formula works

The calculator multiplies the average encoded frame size by the number of frames recorded per second. It then multiplies that amount by the number of recording seconds and the number of cameras. Finally, it converts decimal kilobytes to decimal gigabytes.

Estimated Storage (GB) = average encoded frame size (KB) × frames per second × recording time (hours) × 3,600 × number of cameras ÷ 1,000,000

There are 3,600 seconds in an hour and 1,000,000 decimal kilobytes in a decimal gigabyte. The formula therefore converts the recording time to seconds and the resulting video data to GB.

Worked example: one camera recording for 24 hours

Assume one security camera has an average encoded frame size of 50 KB, records at 30 frames per second, and runs continuously for 24 hours. These are the calculator’s default assumptions, not measurements of a particular camera.

  • Average encoded frame size: 50 KB
  • Frame rate: 30 frames per second
  • Recording time: 24 hours
  • Number of cameras: 1

The calculation is 50 × 30 × 24 × 3,600 × 1 ÷ 1,000,000 = 129.60 GB. This is the estimated space for the encoded video under those assumptions. It does not include audio or other storage overhead.

If the same camera settings and recording time applied to two cameras, the estimate would double to 259.20 GB. Likewise, cutting the recording time in half would halve the estimated video storage, provided the average frame size and frame rate stayed the same.

Use cases for the Video Frames Per Second Storage Calculator

Planning security camera retention: Estimate the video storage needed for a day, a week, or another recording period. For continuous recording, convert the desired period into hours before entering it. Seven days, for example, is 168 hours.

Comparing frame rates: If you have representative average frame sizes for different settings, calculate each scenario to see how the estimated storage changes. A higher frame rate records more frames, although the average encoded frame size can also change when you adjust camera settings.

Estimating a multi-camera system: Enter the number of cameras when they all record for the same duration with the same frame rate and average encoded frame size. This can help you plan storage for a home, shop, office, or other monitored property.

Reviewing a recorder upgrade: Compare the estimated video storage with the capacity available for recordings on your recorder or other storage device. Leave room for excluded data and variations in real footage when deciding whether the available space meets your needs.

Comparing recording schedules: Use the hours field to compare known amounts of recording time. If a camera is scheduled to record eight hours a day, use the total scheduled recording hours for the period you want to estimate.

Other factors to consider when calculating Estimated Storage

Compression and codec settings: Encoded frames do not all have the same size. Keyframes can be larger than interframes, and codec and quality settings affect how much data is saved. Use an average across encoded frames, including both types, rather than the size of a single keyframe.

Motion and scene detail: A camera watching a still hallway may use less data than one watching traffic, moving trees, or a crowded entrance. Lighting changes and image noise can also affect compression. An average based on a short, quiet sample may underestimate a busier recording period.

Variable bitrate: Some recording configurations use more data when a scene is complex and less when it is quiet. As a result, the average frame size can vary from hour to hour or day to day. Use a representative average and allow additional capacity for variation.

Continuous versus event recording: The calculator uses the recording time you enter; it does not automatically calculate motion-only recording or scheduled downtime. For event recording, estimate the actual number of hours footage will be saved, while recognizing that event activity may change over time.

Additional storage use: Audio, metadata, filesystem overhead, and redundancy are not included in Estimated Storage. A recorder may also reserve some capacity for its own operation. These factors can reduce the space available for video footage.

Different camera settings: Resolution, compression, frame rate, and scene conditions can vary between cameras. Calculate different groups separately when a single average would not represent the whole system well.

Frequently asked questions

How much storage does a security camera use at 30 frames per second?

It depends on the average encoded frame size and how long the camera records. With an assumed average of 50 KB per frame, one camera recording at 30 frames per second for 24 hours uses an estimated 129.60 GB of video storage. Different scenes and compression settings can produce a different result.

Does a higher frame rate always require more storage?

If the average encoded frame size and recording time remain unchanged, a higher frame rate increases the estimate in direct proportion. In practice, changing the frame rate or other recording settings may also change the average encoded frame size, so use a representative value for each scenario.

How do I estimate the average encoded frame size?

Use a representative recording made with the camera and settings you plan to use. Divide the encoded video size in decimal kilobytes by the number of frames in that recording to get an average per frame. Include enough varied footage to reflect expected conditions, and remember that audio or other data in the file can affect the estimate if it is included in the file size.

Does the calculator include audio and recorder overhead?

No. Estimated Storage covers the video calculation only. Audio, metadata, filesystem overhead, and storage redundancy need additional space, so the calculator result should not be treated as the total capacity required.

Can I use the calculator for motion-only recording?

Yes, if you can estimate the number of hours the cameras will actually record and enter that amount as the recording time. The calculator does not predict motion events, and actual activity can vary, so the result may differ substantially from the space eventually used.

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