AI Video Surveillance Software AI Surveillance Software with Real-Time Threat Detection
Surveillant is AI powered surveillance software that connects to the IP cameras you already own and turns passive recording into real-time detection, natural-language video search, and alerts a person can act on. No camera replacement, no on-site server, no multi-year hardware contract.
Works with any ONVIF or RTSP camera. No credit card required to start.
- Deployment
- Cloud, software only
- Camera support
- Any ONVIF / RTSP camera
- Hardware required
- None
- Time to first detection
- Same day
- Best for
- US multi-site operators
What Is AI Video Surveillance Software?
AI video surveillance software is a layer of computer vision that watches live camera feeds, classifies what it sees (people, vehicles, weapons, packages, behaviors), and raises an alert only when something matters. Traditional surveillance records everything and understands nothing. AI surveillance software reads every frame of every camera continuously and turns hours of footage into a searchable, indexed record.
The practical difference for a US security team is attention. A human operator watching a video wall misses a large share of what crosses the screen after the first twenty minutes. Software does not get tired, does not look away, and covers every camera at once. Instead of scrubbing footage after an incident, you type what you are looking for and get the clip.
Modern AI powered surveillance software is delivered as a subscription and runs on cameras you already own. It connects over ONVIF or RTSP, processes the stream in the cloud, and writes detections back to a dashboard, a mobile alert, or your own systems through an API. That is why the software approach costs a fraction of a proprietary camera refresh and deploys in days rather than months.
What it replaces
- Staring at a video wall hoping to catch something live
- Scrubbing hours of recordings to find one event
- Motion alerts that fire on rain, shadows, and headlights
- Ripping out working cameras to get modern features
What AI Surveillance Software Detects
Each detection type runs on the same camera stream. You choose which to enable per camera, so a loading dock and a lobby can watch for different things.
| Detection type | What it identifies | Typical use |
|---|---|---|
| Object detection | People, vehicles, bags, packages, tools | Perimeter and after-hours intrusion |
| Behavior analysis | Loitering, running, falling, fighting, tailgating | Lobbies, parking structures, retail floors |
| Weapon detection | Visible firearms and drawn weapons | Schools, hospitals, government buildings |
| License plate recognition | Plate characters, state, vehicle make | Gated sites, dealerships, fleet yards |
| Zone and line crossing | Entry into a drawn area or across a tripwire | Restricted rooms, fence lines, rail platforms |
| People counting and occupancy | Headcount, dwell time, queue length | Retail, stadiums, facility operations |
| Natural-language search | Plain-English queries across indexed footage | Investigations and evidence export |
| Anomaly detection | Activity that breaks a site's normal pattern | Warehouses and unmanned facilities |
For a deeper technical walkthrough of the detection pipeline, read our guide on how AI video analytics works.
Recording Is Not Security
Most US businesses already have cameras. What they do not have is anyone reliably watching them. Footage gets reviewed after a theft, after a slip-and-fall claim, after a break-in. By then the value of the video is evidentiary, not preventive, and the loss has already landed on the P&L.
The systems that promise to fix this usually ask you to start over. Proprietary AI cameras carry a hardware cost of roughly $600 to $3,500 per camera before you pay for a license, and they lock you into one vendor's roadmap. For a company with 60 working cameras, that is a six-figure decision to get a feature set that is fundamentally software.
Meanwhile the motion alerts on the existing NVR are so noisy that staff mute them. A system that cries wolf every time a truck's headlights sweep the wall is a system nobody trusts, and an untrusted alert is worse than no alert.
Add the Intelligence, Keep the Cameras
Surveillant treats AI as a software layer, not a hardware category. We connect to your existing streams over ONVIF or RTSP, or pull from your NVR or VMS, and run detection models in the cloud. Your recording keeps running exactly as it does today. Nothing is ripped out.
Because the models understand what an object is rather than that pixels changed, alerting gets specific. You can ask for a person in the yard after 8pm and ignore every vehicle on the adjacent road. Sites that move from motion alerts to object-and-behavior rules routinely cut alert volume by an order of magnitude, which is the difference between an ignored feed and a monitored one.
Every detection is indexed, so the search box becomes the investigation tool. Type a description of what you are looking for, get the clips, export the evidence. What used to be an afternoon of scrubbing becomes a query.
Software AI vs Proprietary AI Cameras
Both approaches work. They fail in different places, and the right answer depends on whether your cameras are healthy and whether you want to own hardware.
| Factor | AI surveillance software (Surveillant) | Proprietary AI camera systems |
|---|---|---|
| Up-front hardware cost | None if cameras exist | Roughly $600 to $3,500 per camera |
| Time to deploy | Days | Weeks to months (install and cabling) |
| Vendor lock-in | Low, camera agnostic | High, cameras and license are coupled |
| Model improvements | Shipped continuously by software update | Often bounded by on-camera chip generation |
| Where a camera refresh still wins | Cannot fix bad optics, bad placement, or 480p feeds | New sensors genuinely improve low-light and detail |
| Bandwidth requirement | Upload per stream, roughly 4 to 6 Mbps at 1080p | Lower, much of the inference runs on the camera |
| Ongoing cost | Per-camera subscription | Per-camera license, often multi-year |
If your cameras are older than a decade or the image is unusable at night, replace those specific cameras first. Software cannot recover detail the sensor never captured. For the full cost picture, see our AI video analytics cost breakdown.
AI Video Surveillance Software Features
Everything below is included in the platform and runs against the cameras you connect on day one.
Natural-Language Video Search
Describe what you are looking for in plain English and get matching clips across every camera and every day of retention. No timestamps, no scrubbing, no guessing which camera saw it.
Real-Time Threat Detection
Weapons, intrusion, tailgating, and crowding are detected as they happen. Alerts route to the dashboard, mobile, email, or a webhook into your existing incident workflow.
False Alarm Suppression
Object classification means the platform knows the difference between a person and a plastic bag in the wind. Rules can require a specific object, in a specific zone, at a specific time.
Cross-Camera Tracking
Follow a person or vehicle as it moves between camera views and build a single timeline of movement across the site instead of a set of disconnected clips.
Forensic Timeline and Export
Assemble an evidence package with the clips, detections, and timestamps attached. Export in a format that holds up for insurers, counsel, and law enforcement.
Open API and Integrations
Push detections into your SIEM, access control, or operations tooling. Every event available in the dashboard is available on the API for teams that want to build on it.
How to Deploy AI Surveillance Software
Four steps, typically completed inside a week for a single site.
Connect Your Cameras
Point the platform at RTSP stream URLs, an ONVIF discovery range, or your existing NVR or VMS. Recording on your side continues untouched.
Draw Zones and Rules
Mark the areas that matter, pick the detection types per camera, and set the hours. A loading dock at 2am is a different rule from a lobby at noon.
Tune the Alerts
Run for a few days, look at what fired, and tighten. The goal is an alert volume your team will actually read, not the maximum number of detections.
Search and Respond
Detections stream into the dashboard and into search. Investigations that took an afternoon of scrubbing take a query and an export.
Where AI Powered Surveillance Software Pays Off
The teams that see the fastest return share one trait: more cameras than people who can watch them.
Multi-Site Retail
Loss prevention across dozens of stores with a small central team. Detect sweeps, register incidents, and after-hours entry without a guard per location.
Warehouses and Logistics
Dock door activity, trailer theft, and unsafe behavior around forklifts. Anomaly detection covers the hours when nobody is on the floor.
Manufacturing
PPE compliance, restricted zone entry, and line stoppages. The same camera feed serves both safety and operations reporting.
Schools and Campuses
Weapon detection and perimeter monitoring across buildings, with alerts that reach staff and responders in seconds rather than minutes.
Commercial Real Estate
Lobby tailgating, garage incidents, and tenant complaints. Natural-language search turns a tenant dispute into a two-minute lookup.
Critical Infrastructure
Fence-line intrusion at unmanned sites where a false alarm means dispatching a truck. Precise object rules keep response cost down.
AI Video Surveillance Software Questions
What is AI video surveillance software?
AI video surveillance software is a computer vision layer that analyzes live camera feeds, classifies what appears in them, and alerts only on events that match a rule. It replaces motion detection with object and behavior understanding, and it indexes footage so it can be searched by description instead of by timestamp. It typically runs as a cloud subscription on cameras you already own.
What is the best AI surveillance software?
The best AI surveillance software is the one that fits your camera estate and your team. Camera-agnostic cloud platforms like Surveillant suit organizations that already own working IP cameras and want detection without a hardware refresh. Bundled camera-plus-software vendors like Verkada or Rhombus suit buyers who want a single supplier and are ready to replace hardware.
How much does AI video surveillance software cost?
AI analytics software generally runs about $3 to $15 per camera per month based on 2026 vendor and reseller estimates, billed on top of cameras you already own. Bundled systems that include proprietary cameras add roughly $600 to $3,500 per camera up front. The hardware decision, not the software license, is what moves the total.
Does AI surveillance software work with existing cameras?
Yes, in most cases. Any camera that supports RTSP streaming or the ONVIF protocol can be connected, which covers the large majority of IP cameras sold in the last decade. The platform can also pull streams from an existing NVR or VMS. Cameras with unusable image quality at night are the main exception, since software cannot recover detail the sensor never captured.
How accurate is AI video surveillance?
Accuracy depends far more on camera placement, resolution, and lighting than on the model. A well-placed 1080p camera with even lighting produces reliable person and vehicle detection. The same model on a backlit, wide-angle, rain-streaked camera will produce misses. Any vendor quoting a single accuracy percentage without describing the conditions is quoting a lab number.
Is AI surveillance software legal in the United States?
Video surveillance of your own commercial property is legal in every US state, subject to rules about audio recording and areas with a reasonable expectation of privacy such as restrooms and locker rooms. Biometric features like facial recognition carry extra obligations in states with biometric privacy laws, notably Illinois, Texas, and Washington. Object and behavior detection carries no biometric identifier and is far simpler to deploy.
Can AI video surveillance software reduce false alarms?
Substantially. Motion detection fires on any pixel change, which is why rain, headlights, shadows, and animals dominate legacy alert logs. Object classification lets you require a specific object type inside a specific zone during specific hours before an alert fires. That combination is what turns an ignored notification stream into a queue a security team actually works.
Related Reading
AI Video Analytics Software
The analytics engine behind the detections, in depth.
AI Security Camera Software
Add AI to the security cameras already on your walls.
AI Video Analytics Companies
Who the major US vendors are and who each one fits.
AI Video Analytics Cost
Pricing models, cost per camera, and payback.
Put AI on the cameras you already own
Connect a few streams, draw a zone, and see real detections from your own footage. No credit card required.