Fundamentals
CCTV vs AI security cameras: what actually changes
The cameras are often the same hardware. What separates ordinary CCTV from an AI security system is a software layer that decides what is worth a human's attention — and that layer can usually be added to the cameras you already own.
VuePoint
The difference between CCTV and an AI security camera is not the camera — it is what happens to the video after the lens. Ordinary CCTV records continuously so that footage can be retrieved after something has happened. An AI system runs every frame through software that classifies what is in view, applies the site's rules about where and when that matters, and raises the handful of moments that clear those rules to a person. Same sensor, same cabling, same recorder in many cases. The change is that the video is being read rather than merely stored.
That distinction matters commercially, because it means the upgrade path is usually software, not a rip-and-replace. It also matters practically: an AI system does not give you better footage of an incident, it gives you a chance to interrupt the incident. If nobody is going to act on an alert, the analytics layer buys you very little.
Side by side
| CCTV | AI video analytics | |
|---|---|---|
| What it does with video | Stores it | Classifies it as it arrives, then stores it |
| When a human sees it | After an incident, on request | While the event is in progress |
| What triggers attention | Someone goes looking, or a motion alert fires | A person or vehicle matching a rule — zone, hours, dwell time |
| Typical alert volume | Motion alerts on wind, rain, headlights, cats | Filtered to events that match the rule set |
| Primary value | Evidence after the fact | The chance to intervene, plus the evidence |
| Hardware needed | Cameras and a recorder | Often the same cameras and recorder, plus compute and connectivity |
Can I use my existing cameras with an AI monitoring service?
Usually yes, and it is the first thing worth checking before anyone quotes you new hardware. Analytics run on the stream, so what matters is whether your cameras can hand over a stream a service can read, and whether the picture is good enough to classify. In practice the qualifying checklist is short.
- An accessible stream. Most IP cameras and NVRs from the last decade expose RTSP or ONVIF. That is normally enough. Analogue cameras need an encoder; older proprietary DVRs sometimes cannot be opened up at all.
- Enough pixels on the subject. A camera aimed at a wide car park from a great height may be fine for a human reviewing footage and useless for classification. See how far a camera can actually detect a person for the arithmetic.
- Usable night imaging. If the scene is a white blur of blown-out IR or a black frame with two headlights in it, no analytics layer will rescue it. That is a lighting and exposure fix, covered in why cameras send false alerts at night.
- Upload bandwidth. Streams have to leave the site. A sub-stream at a lower resolution is often sufficient for analytics while the full-resolution recording stays local.
- A recorder that is actually recording. It is worth verifying. Failed drives that nobody noticed are one of the most common findings when we survey an existing system.
Where existing cameras genuinely cannot be used, it is nearly always coverage rather than compatibility — the cameras were mounted to watch a door, and the question you now want answered is who is crossing the yard. That is a placement problem, and adding two well-aimed cameras usually beats replacing twelve badly-aimed ones.
How long is footage kept, and who can see it?
Retention is a configuration choice, not a property of the technology, and you should treat any provider's default as a starting point for negotiation rather than a fact. Two separate things are being retained and they usually have different lifespans: the continuous recording, and the short clips attached to events that were escalated.
- Continuous recording is bounded by storage. On a local recorder it runs until the disk fills and then overwrites the oldest footage, so the retention window is a function of camera count, resolution and drive size — not a policy someone chose.
- Event clips are small and are normally kept far longer than the continuous record, because they are the part anyone ever asks for.
- Exported evidence — anything handed to police, an insurer or a lawyer — leaves the system's retention regime entirely and lives under whatever rules the recipient applies.
On access, the questions worth asking any provider in writing: who inside their organisation can pull up a live view of your site, is that access logged, what happens to your footage when the contract ends, and will they hand you an export or leave you to screen-record it. A provider that cannot answer those quickly has not thought about it, which is itself the answer.
When CCTV alone is the right answer
If nothing on the site can be acted on in the moment — an unstaffed remote location where the only realistic outcome is a police report and an insurance claim — then recording is what you need and analytics are an expense with no return. The same is true where the video's job is documentation rather than security: proving a delivery arrived, settling a damage dispute, showing a process was followed. Buy the analytics when someone will act on the alert; buy the recorder when the value is the record.
Common questions
- What is the difference between CCTV and AI security cameras?
- CCTV records video so it can be reviewed after an incident. An AI security system runs the same video through software that classifies what is in view — person, vehicle, object — and applies rules about where and when that matters, then raises the matching events to a person while they are happening. The cameras are frequently identical hardware; the difference is the analytics layer and the monitoring arrangement behind it.
- Can I use my existing cameras with an AI monitoring service?
- In most cases yes. Analytics run on the video stream, so any camera that exposes RTSP or ONVIF — which covers most IP cameras and NVRs from the last decade — can typically be used. The practical limits are picture quality rather than compatibility: enough pixels on the subject to classify it, usable night imaging, and enough upload bandwidth to get the stream off site. Analogue cameras need an encoder, and some older proprietary DVRs cannot be opened up at all.
- How long is security camera footage kept?
- It depends on configuration, not on the technology. Continuous recording is bounded by storage — a local recorder overwrites the oldest footage when the disk fills, so the window is a function of camera count, resolution and drive size. Short clips attached to escalated events are small and are normally kept much longer. Agree the retention window in writing, and check whether your sector imposes a legal minimum or maximum.
- Who can access my security camera footage?
- Ask any provider to answer this in writing before you sign: which of their staff can open a live view of your site, whether that access is logged, what happens to your recordings when the contract ends, and whether they will provide a proper export on request. Access control and audit logging are configuration choices a provider makes, so they vary widely between vendors.
- Is it worth upgrading CCTV to AI video analytics?
- It is worth it when someone will act on an alert in the moment — a monitoring centre, an on-call manager, a guard who can be redirected. Analytics convert stored footage into an interruption opportunity. If no one is available to respond and the realistic outcome of any incident is a police report and an insurance claim, then recording is what you actually need and the analytics layer adds cost without adding an outcome.
Send us a camera list and we will tell you what is reusable.
Make, model and a screenshot of a night view from each is usually enough for us to say what can be brought into a monitoring service and what cannot.