AI fire early warning for existing CCTV
Your existing CCTV will detect fire.
Seconds Fire is visible before your fire system reacts.
Detect visible fire on the cameras already covering your critical areas. Send the image, site and camera to your team—before the situation escalates.
An additional visual early-warning layer alongside your certified fire systems.
Trusted in real operating environments
Named customer deployments. Intel® Gold Partner for on-premise AI workloads.
Recognised following engineering work with Intel on running AI workloads on Intel processors. Read the announcement
The gap your cameras already reveal
Your CCTV already sees the fire. But recording is not warning.
A small fire becomes visible on one of many camera feeds while nobody is watching that view. The problem is not a lack of cameras. The problem is that the right people do not know what the cameras already see.
01
Camera sees
Fire becomes visible in an existing CCTV view.
02
AI Bot Eye detects
Visible fire is identified along with the site and camera.
03
Team knows
The designated people receive the image, site and camera details through configured alert channels.
Yesterday it recorded the fire. Today it warns you.
50+ controlled fire demonstrations
The camera was already there. AI Bot Eye detected the fire in 3 seconds.
Tested on existing CCTV across warehouses, factories and outdoor yards—including difficult distances and bright sunlight.
- Existing CCTV
No new cameras. The feed already covering the floor was enough.
- Fire detected in 3 seconds
Small visible flame marked on the live view while it was still tiny.
- WhatsApp / siren alert triggered
Image, site and camera sent on the path your team already uses.
Result Controlled test on the camera already covering STORE 02
Also proven in these conditions
Start with the cameras already covering your critical areas.
Test AI Bot Eye on 10 of your existing camerasSame fire. Two outcomes.
Recording is not warning.
We don’t sell AI. We sell time—image, site and camera to the right people while the fire is still small.
Sample alert flow
Same fire. Two outcomes.
Alert in UNDER 5s
Alert delivered
- Image
- Site
- Camera
The right people know what is happening and where.
WhatsApp · Dashboard · SMS · Hooter
Why teams trust it
Proven on your cameras. Connected to your response.
Before go-live, AI Bot Eye is adapted to your selected views, proven with controlled tests on your actual cameras, and wired to the alert path your site already uses.
01
Adapted to each camera view
Angle, distance, lighting, activity and known non-fire patterns are reviewed per view—not treated as a generic feed.
02
Proven on your site before go-live
Controlled fire tests run on your cameras until detection and the full alert path are proven to your team.
03
Runs where your CCTV runs
Processing stays on-site—including isolated CCTV/NVR networks—without cloud video processing or continuous internet.
Works alongside certified fire systems. Start with critical areas; scale across on-premise options for up to 5, 25 or 80 cameras.
Customer deployments
The Leela Palace and Rolex Rings run AI Bot Eye on cameras they already had.
Two operating environments. Same principle: visible fire on existing CCTV reaches the people responsible—while the event is still small.
Prove it before you deploy it
Check the view. Learn the site. Prove it works. Go live.
Identify priority risk areas and confirm the camera views to activate.
Tune detection to the selected views and how the site actually operates.
Run controlled demonstrations and validate detection, alert delivery and recipient routing.
Activate selected camera views and connect them to the site’s response process.
Related capabilities
Fire first. Other modes when you need them.
Site security
Intrusion detection and restricted-area monitoring.
Intrusion detection →Industrial operations
Stack-light monitoring and selected process visibility.
Stack Light Monitoring →Access, PPE and people analytics
ANPR, PPE compliance and selected people analytics.
Explore related modes →FAQ
Questions buyers ask before a demo.
Does AI Bot Eye work with our existing CCTV cameras?
Yes. AI Bot Eye runs on your existing CCTV. We start with the views covering your priority areas, adapt detection to each view, and prove fire detection on your cameras before go-live.
How many cameras can it cover on-premise?
On-premise options cover up to 5, 25 or 80 cameras. Deployments start on critical views and scale across the site.
Does AI Bot Eye replace our existing fire alarm system?
No. AI Bot Eye adds a camera-based visual early-warning layer alongside certified fire detection and protection systems.
What does the team receive when fire is detected?
Designated recipients receive the event image, site and camera through configured channels such as WhatsApp, dashboard, SMS and hooter—in under 5 seconds.
Does it operate without internet?
Yes for core detection. Processing stays on-site. Local hooter and SMS alert paths work without internet. WhatsApp and cloud dashboards use network access when those channels are connected.
How do we know it will work at our site?
We prove it on your cameras. Controlled demonstrations show detection and the full alert path on your own views before a deployment is proposed.
Does video need to leave our facility?
No. On-site processing keeps fire detection inside your facility.
Fire in sight. Alert in hand. Time to act.
Prove it on your own cameras.
We run controlled fire-detection tests on your priority camera views and show exactly what your team receives—and where the alert goes.
Request an On-Site Demo