AI Security Camera Software AI Camera Software and Security Video Analytics for Cameras You Own
Surveillant is AI security camera software that plugs into your existing IP cameras and gives them detection, smart alerting, and plain-English video search. If your camera speaks ONVIF or RTSP, it works. You keep your hardware, your cabling, and your recorder.
Axis, Hanwha, Bosch, Vivotek, Amcrest, Reolink, Uniview, and hundreds more.
- Protocol needed
- ONVIF or RTSP
- Minimum resolution
- 1080p recommended
- Upload per camera
- About 4 to 6 Mbps
- New hardware
- None
- Existing NVR
- Keeps recording
What Is AI Security Camera Software?
AI security camera software is an application that reads the video stream from your security cameras and understands its contents. Rather than storing footage for later, it classifies people, vehicles, and behaviors in real time, alerts on the ones you asked about, and makes the entire archive searchable in plain English.
The important thing about it is that it is software. You do not need an AI camera to get AI. The intelligence runs on the stream, not on the chip inside the camera housing, which means a five-year-old dome camera and a brand-new turret camera get the same detection quality as long as both produce a usable image.
That decoupling is what makes the software approach practical for US businesses with cameras already installed. You add a subscription, connect the streams, and the cameras you bought years ago start doing something they were never sold as capable of doing.
You do not need to buy
- New AI cameras with on-board chips
- A replacement NVR or on-site server
- New cabling or an installer visit
- A multi-year hardware license contract
Which Security Cameras Work With AI Software?
The rule is simple: if the camera can hand over a video stream on the network, the software can analyze it. Here is how the common setups connect.
| What you have | How it connects | Works? |
|---|---|---|
| Modern IP cameras | Direct RTSP stream or ONVIF discovery | Yes |
| Cameras behind an NVR | Pull the substream from the recorder | Yes, recording is unaffected |
| Cameras behind a VMS | Integration with Milestone, Genetec, Avigilon, Exacq | Yes |
| Analog cameras on a DVR | Encoder or DVR with an RTSP output | Usually, quality permitting |
| Consumer cloud-only cameras | No local stream is exposed | No |
| Cameras with unusable night image | Stream connects, detection degrades | Replace those cameras first |
If your estate is mostly older analog CCTV, our AI CCTV software page covers that path specifically.
The Camera Vendor Wants a Refresh
Ask a camera manufacturer how to get AI detection and the answer is a quote for new cameras. That is not dishonest, it is just how a hardware business works. On-board analytics ship with the chip, so the chip has to be new, so the camera has to be new.
For a facility with 40 working cameras, that logic ends in a project. New cameras, new mounts, an installer on site for a week, and a license attached to each unit for the next three to five years. The features you actually wanted (know when a person is in the yard, find the clip of the delivery) arrive as a byproduct of a capital purchase.
The cameras being replaced are usually fine. They stream clean 1080p, they are aimed correctly, and they have years of service left. What they lack is software, and software is not something you should have to buy a camera to get.
Buy the Software, Keep the Cameras
Surveillant connects to the streams your cameras already publish. Detection models run in the cloud, so the camera does no work beyond what it does today, and your recorder keeps recording exactly as before. Nothing on site changes.
Detection quality then depends on the image, not the badge on the housing. A well-aimed 1080p camera from 2019 with even lighting will outperform a brand-new AI camera pointed into a sunset. That is worth internalizing before you sign a refresh quote: placement and lighting move accuracy far more than model generation does.
The cameras that genuinely deserve replacement are the ones that produce an unusable image, especially at night. Software cannot recover detail a sensor never captured. Replace those few, connect the rest, and you have modern analytics for a fraction of the project cost.
What the Software Adds to Every Camera
Enable per camera. A stockroom camera and a parking lot camera rarely need the same rules.
Person and Vehicle Detection
Know the difference between a person, a car, a truck, and a raccoon. Alert rules can require a specific object class before anything reaches your phone.
Smart Alerts by Zone and Hour
Draw the area that matters and set the hours it matters. A person at the loading dock at 3am is an alert; the same person at 3pm is a delivery.
Plain-English Footage Search
Every frame is indexed as it arrives. Describe what you need and the platform returns the clips, across all cameras, without a timestamp to start from.
License Plate Recognition
Read plates at entrances and gates, build a vehicle log, and flag plates on a watchlist. Useful for dealerships, fleet yards, and gated properties.
Occupancy and Dwell Time
Count people, measure queue length, and see where visitors linger. The same camera that protects the store also reports on how it is used.
Camera Health Monitoring
Get told when a camera goes offline, drifts out of focus, or gets bumped out of frame. Most estates have a few blind cameras nobody has noticed.
How to Add AI to Your Security Cameras
No installer, no downtime, no change to how your footage is recorded today.
Find the Stream
Grab the RTSP URL from the camera or NVR web interface, or let ONVIF discovery find the cameras on the subnet for you.
Connect and Verify
Add the stream, confirm the picture, and check the image quality score. The platform flags cameras whose image will limit detection.
Set Rules per Camera
Pick the object classes, draw zones, choose hours. Start conservative so the first week of alerts is readable rather than overwhelming.
Use It
Alerts arrive on mobile and in the dashboard. Search runs across everything. Camera health warnings tell you what to fix.
AI Security Camera Software Questions
What is AI security camera software?
AI security camera software analyzes the video stream from your existing security cameras and identifies what is in it. It detects objects and behaviors, alerts only on events that match your rules, and indexes footage so it can be searched by description. Because it runs on the stream rather than on the camera, it upgrades hardware you already own.
Can I add AI to my existing security cameras?
Yes. Any camera that exposes an RTSP stream or supports ONVIF can be connected, which covers most IP cameras sold in the last ten years. The software reads the stream, runs detection in the cloud, and leaves your recording untouched. Consumer cloud-only cameras that never expose a local stream are the main exception.
Do I need an AI camera to get AI detection?
No. On-board analytics require an AI chip in the camera, but cloud analytics only require a video stream. Detection quality is driven mainly by resolution, lighting, and camera placement, not by whether the housing contains a neural chip. A well-aimed ordinary camera usually outperforms a poorly aimed AI camera.
What is the best AI security camera software?
It depends on your hardware position. If you already own working IP cameras, camera-agnostic software like Surveillant delivers detection without a refresh. If you are building a site from nothing and want one vendor for cameras, software, and support, a bundled platform such as Verkada or Rhombus can be simpler even though it costs more.
How much bandwidth does AI camera software use?
Plan on roughly 4 to 6 Mbps of upload per 1080p camera at 15 frames per second. Lower resolution or frame rate reduces that, with a modest cost in detection accuracy on small or distant objects. Most sites start with a subset of cameras to measure real usage before connecting the rest.
Will AI software slow down my cameras or recorder?
No. The software subscribes to a stream the camera or recorder already publishes and does its processing elsewhere. Local recording, live viewing, and retention continue exactly as before. If you are worried about load, pull the substream rather than the main stream, which is what most deployments do anyway.
Does AI security camera software use facial recognition?
Not by default, and for most US buyers it should not. Object and behavior detection solves the majority of security problems without collecting a biometric identifier, which keeps you clear of biometric privacy laws in states like Illinois, Texas, and Washington. Face matching should be a deliberate decision reviewed by counsel, not a default setting.
Related Reading
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See what your cameras have been missing
Connect one stream and watch real detections come off your own footage. No credit card required.