Security Camera Storage Calculator: A B2B Buying Guide

For a distributor, system integrator, installer or private-label buyer, storage planning should start with the recording requirement—not a camera resolution label alone. The same resolution can produce very different storage demand when bitrate, frame rate, scene activity, codec, recording schedule and retention time change.

This guide gives a repeatable way to estimate security camera storage before a quotation or pilot discussion. Use the estimate as a planning input, then confirm the exact camera, stream, recorder or service configuration for the project in writing.

Quick answer: use bitrate, time and camera count

A first-pass estimate can use this formula:

Storage (GB) ≈ average bitrate (Mb/s) × 0.45 × recording hours per day × retention days × number of cameras

The 0.45 factor converts megabits per second into decimal gigabytes per hour. The result is an estimate of recorded data before the storage system applies its own filesystem, database, redundancy, reserved capacity or other overhead. A recorder may also display decimal and binary units differently, so compare the estimate with usable capacity rather than the label on a drive.

Illustrative calculation

Suppose a project has 8 cameras, an average recorded bitrate of 4 Mb/s per camera, continuous recording for 24 hours per day, and 14 days of retention:

4 × 0.45 × 24 × 14 × 8 = 4,838.4 GB

That is approximately 4.8 TB of recorded data before project-specific overhead and capacity policies. It is a math example, not a recommendation for a particular SightSys model or recorder.

Why resolution alone cannot size storage

Resolution helps describe the image, but bitrate determines how quickly recorded data fills storage. Axis explains that bitrate can vary significantly within the same resolution and identifies bitrate and retention time as the main inputs when selecting edge-storage capacity. Its storage tables also separate codec, frame rate, bitrate and retention instead of treating a resolution label as a capacity specification.

Scene activity matters. A static hallway and a busy entrance can produce different bitrates at the same resolution and frame rate. Compression settings, key-frame interval, audio, analytics metadata and the number of recorded streams can change the result again. Measure or confirm the expected bitrate for the exact stream that will be recorded.

For a technical overview of how compression affects storage and bandwidth, see Axis surveillance video compression guidance. It is an industry reference, not a claim about a SightSys camera or codec.

Collect these inputs before choosing capacity

1. Count cameras and recorded streams

Record the number of cameras and whether the system stores one stream, a main and sub-stream, multiple views, or another configuration. A camera count without a stream plan is incomplete. For multi-view or multi-stream designs, calculate each recorded stream or document the recorder’s combined bitrate.

2. Use average or target bitrate

Ask for the expected average bitrate or target bitrate in Mb/s for the exact resolution, frame rate, codec and scene. If the project is still at the shortlist stage, keep the value as an open input and run a range rather than filling it from a similar model.

3. Define the recording schedule

Continuous recording uses the full number of hours in the formula. Motion or event recording needs an estimated active time per day and a clear definition of what triggers recording. If the activity estimate is uncertain, calculate both a low-activity and a high-activity case and validate the result with a real test.

4. Set the retention period

Write the required number of days, the start point of the retention window and what happens when the storage limit is reached. Retention can be a buyer requirement, a site policy or a project-specific decision; do not infer it from a camera family name.

5. Record codec, frame rate and audio

H.264 and H.265 can produce different bitrates for a comparable image, but the complete recording chain must support the selected codec. Frame rate, image quality settings, audio and analytics metadata also affect data volume. Keep those fields beside the bitrate in the project sheet.

6. Decide how much usable capacity the system needs

Separate raw estimated data from usable capacity. The storage design may reserve space for redundancy, database overhead, exports, failover, maintenance or later camera additions. Record the policy chosen by the project owner instead of hiding it inside an unexplained margin.

Continuous recording and event recording need different assumptions

Continuous recording is straightforward to model: multiply the average bitrate by all recording hours. Event recording can use less storage, but only when the event schedule and pre-event or post-event buffers are understood. “Motion recording” is not a fixed storage percentage across every location.

For an event-based design, record the expected events per day, average clip duration, pre-event and post-event time, stream used for the event, and whether a lower-quality stream is kept continuously. If those values are not known, mark them as open and test the proposed configuration instead of presenting a precise capacity as a fact.

Choose the storage destination after the recording requirement is clear

NVR or recording server

For an NVR or server, compare the estimated data with usable capacity, supported write throughput, supported camera streams, redundancy policy and the retention behavior configured by the software. Confirm whether exports, failover or a second stream share the same storage pool.

Edge storage

For camera-side or edge storage, confirm the supported media type, usable capacity, recording mode, overwrite behavior and retention target for the exact device and firmware. Axis’s edge-storage guidance is useful for the method: it treats bitrate and retention as the driving parameters, with resolution shown only as a typical correlation. That guidance does not establish a SightSys storage limit.

Cloud or managed platform storage

For cloud or managed storage, the question is not only “how many terabytes?” Confirm the service’s retention policy, stream or resolution limits, upload path, account scope, export behavior and any project-specific plan terms. The current SightSys App & Cloud Platform page gives platform context; the recording and storage scope for a quoted configuration still needs written confirmation.

Turn the estimate into a buyer-side project sheet

RFQ checklist for a storage-related camera project

Include the following in the inquiry so the supplier can review the same configuration that the storage estimate assumes:

• Destination market, application and indoor or outdoor installation environment
• Complete camera model and suffix, when already shortlisted
• Number of cameras, views and recorded streams
• Target resolution, frame rate, codec and average or target bitrate
• Continuous or event recording, expected activity and retention days
• Preferred storage destination and any recorder, VMS or platform requirement
• Network, power and integration constraints that affect the installation
• Required sample or pilot checks, including playback and retention verification

Start with the SightSys Security Cameras catalog to keep model identity tied to the current range. When the configuration and storage questions are clear, use the Request a Quote page and ask for confirmation of the exact recording and storage scope. Commercial terms, availability, delivery arrangements and project responsibilities remain specific to the individual inquiry.

A practical decision path

1. Define the evidence you need to retain. State the application, retention days and whether recording is continuous or event based.
2. Identify the exact recorded stream. Keep model, suffix, codec, frame rate, bitrate and stream type together.
3. Run the first-pass calculation. Use bitrate, recording hours, retention days and camera count; show the assumptions beside the result.
4. Check the storage architecture. Compare usable capacity, write support, connectivity, redundancy and overwrite behavior.
5. Validate with the proposed configuration. Confirm the result against a sample, recorder test or written system specification before treating the capacity as final.

References

• Axis: Surveillance video compression — bitrate, compression, storage and deployment planning concepts.
• Axis: Edge storage — bitrate and retention as capacity inputs, with codec and frame-rate examples.

These references explain general storage-planning methods. They do not establish a certification, feature, capacity, compatibility, price, MOQ, stock position, lead time or service term for SightSys products.