Real-Time CCTV Analytics
for distributed sites.
SwiftVision AI adds real-time CCTV analytics to your existing cameras, so security teams running hundreds of locations get live alerts, intrusion detection, AI video search and incident workflows.
CCTV Analytics Features
for security teams.
CCTV analytics uses AI to watch camera feeds for events such as intrusions, loitering or crowding, then sends an alert in real time. In short, SwiftVision AI brings these detections to the cameras you already run.
Real-Time Video Analytics
for your security operations center.
Security teams watch every site from one screen, so a CCTV grid, live AI alerts, a site map and response timers sit side by side.
Real-time CCTV analytics,
in four simple steps.
From the CCTV cameras you already run to real-time alerts on every site, 24/7.
Connect your CCTV cameras
First, connect the IP and CCTV cameras on your sites. One platform then covers one building or hundreds of locations.
Draw zones and set rules
Next, mark restricted zones and virtual fences on each camera view. The AI then checks every feed against those rules, 24/7.
Instant alerts on WhatsApp
When the AI spots an intrusion, loitering or missing PPE, an alert with a CCTV snapshot goes straight to WhatsApp.
Review it all in one dashboard
Finally, one dashboard logs every alert and incident across all sites, ready to send to your VMS or SIEM.
AI Surveillance Use Cases
for sites that need eyes 24/7.
Smart CCTV analytics protects critical infrastructure, campuses and public venues, while running on the cameras already in place.
Critical Infrastructure
Plants, utilities and depots get perimeter intrusion and restricted zone alerts, since virtual fences run on existing cameras.
Campuses
Universities, schools and offices get loitering and after-hours alerts, even when no one is watching.
Public Venues
Crowd counting and density monitoring for stadiums, transport hubs and events, so teams can act before areas get overcrowded.
Real-time CCTV analytics demos
with live detection.
Restricted Zone Intrusion Detection
Crowd Counting & Movement Tracking
Automatic Face Blurring for Privacy
AI surveillance case studies
with results you can measure.
Multi-site enterprise cut security incidents by 98%
Problem • Previously, teams reacted late, with slow response across 47 sites.
Result • Since then, real-time AI intrusion detection routes each incident to the right team instantly.
AI CCTV analytics live on 47 sites in under 60 days
Problem • Before, manual monitoring could not scale with new sites.
Result • Then, we added AI to existing cameras on all 47 sites in under 60 days.
Security operations center halved response time
Problem • Previously, operators missed events in busy camera grids.
Result • Instead, video analytics now surfaces high-priority events with one-click drill-in.
Real-time CCTV analytics,
your questions answered.
The questions security and operations teams ask most.
What is real-time CCTV analytics?
Real-time CCTV analytics, also called AI video surveillance, uses computer vision to watch CCTV feeds live for you. Instead of operators staring at camera grids, the software detects events such as intrusions, loitering or crowding and raises an alert the moment they happen.
Can I add AI to my existing CCTV cameras?
Usually, yes. SwiftVision AI works with standard IP and CCTV cameras, so most sites can add video analytics without replacing hardware. We check camera angles and coverage for each use case before rollout.
What can the system detect?
It detects intrusions in restricted zones, loitering and suspicious activity, crowd density and movement, people counts and PPE compliance, across one site or many.
How do alerts work?
When an event is detected, an alert with a snapshot appears in the security dashboard and can be pushed to a phone, as shown in our intrusion demo. Incidents can then be routed to the right team.
Does it integrate with our VMS and SIEM?
Yes. Detections and incidents can be sent to your VMS, SIEM and dispatch tools, so operators keep working in the systems they already use.
Can we search recorded video?
Yes. AI video search lets operators find events in recorded footage by describing them in plain language, instead of scrubbing through hours of video.
How does it protect privacy?
Faces can be blurred automatically in footage, as shown in our face blurring demo, so video can be stored or shared without exposing identities.
How much does real-time CCTV analytics cost?
The cost depends on how many sites and cameras you have and which detections you need, such as intrusion, crowd or PPE monitoring. If you want a number for your sites, book a demo and we will talk through scope and pricing.
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