AI fire early warning for existing CCTV
AI Bot Eye: visual fire detection system for existing CCTV. Your existing CCTV already sees the fire. But recording is not warning.
Seconds AI Bot Eye adds an instant visual early-warning layer to your existing cameras—detecting flames in under 5 seconds before smoke reaches ceiling sensors.
Detect visible fire on the cameras already covering your critical areas. Send the image, site and camera to your team—before the situation escalates.
Zero software installation. Share a 30-second camera clip—or test on a single RTSP stream—in 48 hours.
An additional visual early-warning layer alongside your certified fire systems.
Trusted in real operating environments
Deployed across industrial plants, luxury hospitality, and multi-facility enterprises. Engineered for on-premise local inference.
Intel Partner Alliance Gold — Innovation. Local inference on Intel processors. Read the announcement
The gap your cameras already reveal
Early visual fire detection vs. conventional smoke sensors. Closing the reaction gap.
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.
The reaction gap
Smoke must rise. Light does not wait.
Ignition
Flame becomes visible in an existing camera view.
Ceiling smoke path
Smoke is constrained by fluid dynamics—often minutes to climb 10–30 ft to a sensor.
AI Bot Eye · ~3s
Optical detection on CCTV—image, site and camera to your team.
50+ controlled fire demonstrations
On-premise CCTV fire analytics. Detected in 3 seconds on cameras already on site.
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 the aisle
Also proven in these conditions
We test against your trickiest camera angles—sun glare, extreme distances, and high ceilings.
Same fire. Two outcomes.
Recording is not warning. Visual flame detection closes the gap.
We don’t sell AI. We sell time—image, site and camera to the right people while the fire is still small.
Standard CCTV
Recording to diskWith AI Bot Eye
Why teams trust it
Enterprise alert integrations on your existing CCTV. SMS, WhatsApp, siren relays, and VMS.
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.
No hardware purchase required for the feasibility audit. Proof of concept delivers in 48 hours.
Related capabilities
Deploy for fire. Add other modes on the same cameras when ready.
Start with visible-fire early warning. Later, activate security, industrial, or access modes on the same on-premise CCTV stack—without changing the core deployment.
Site security
Intrusion and restricted-area monitoring on the same CCTV already covering your site.
Intrusion detection →Industrial operations
Stack-light and selected process visibility for plant floors that already run CCTV.
Stack Light Monitoring →Access, PPE and people analytics
ANPR, PPE checks, and selected people analytics—activated only when you need them.
Explore related modes →FAQ
FAQ: on-premise AI fire detection on existing CCTV
Does AI Bot Eye work with our existing CCTV cameras?
Yes. AI Bot Eye is visual fire analytics for compatible existing CCTV (IP and many analog/DVR paths). Evaluation starts with the views covering your priority areas, adapts detection to angle, distance and lighting, and proves fire detection on your cameras before go-live—no wholesale camera replacement required.
How many cameras can it cover on-premise?
On-premise appliance options cover up to 5, 25 or 80 camera streams. Deployments typically start on critical RTSP/NVR views, then scale across the site once detection and alert routing are proven.
Does AI Bot Eye replace our existing fire alarm system?
No. AI Bot Eye does not replace certified fire alarm or life-safety systems. It adds a camera-based visual early-warning layer that can alert designated people while smoke is still climbing toward ceiling sensors.
What does the team receive when fire is detected?
Designated recipients receive the evidence image plus site and camera identity through configured channels—WhatsApp, dashboard, SMS, and/or local hooter or dry-contact siren relays—typically in under 5 seconds from visible flame detection.
Does it operate without internet?
Yes. AI Bot Eye performs neural-network inference locally on an on-premise appliance. Local sirens, hooters, and dry-contact relay triggers can fire without internet. Internet access is only required if remote channels such as WhatsApp or cloud dashboards are configured.
How do we know it will work at our site?
We prove it on your cameras. Controlled demonstrations show visible-fire detection and the full alert path on your own CCTV views—often starting from a short clip or a single RTSP stream—before a deployment is proposed.
How does AI Bot Eye prevent false alarms from welding, steam, or sun glare?
Detection evaluates flame dynamics over time—flicker frequency, color dispersion, and growth—not a single orange/red color match. For welding, steam, or sun-glare views, exclusion zones and temporal thresholds are set so routine hot works and reflections do not raise an alert.
Does video need to leave our facility?
No. With the on-premise option, video stays inside your facility for inference. Fire detection does not require sending continuous video to an external cloud.
Fire in sight. Alert in hand. Time to act.
Test on your existing cameras.
We run controlled fire-detection tests on your priority camera views and show exactly what your team receives—and where the alert goes.
Confidential site review. Runs on isolated local networks without cloud exposure.