AI Fire Detection for Existing CCTV

Detect Fire in Under 5 SecondsUsing Existing CCTV

AI Bot Eye turns compatible CCTV feeds into an on-premise visual fire detection layer with camera-location alerts and response workflows.

We are not selling AI. We are selling TIME — the time to act before a small fire becomes a disaster.
<5 secvisible fire detection when in camera view
On-premlocal processing options for site control
Camera-wiseimage alerts with exact source context
Existing CCTV DVR / NVR / IP camera feeds No camera replacement needed On-Premise AI Processing Local video processing Continuous fire monitoring VIDEO STAYS LOCAL Fire Detection Fire detection under 5 seconds Image proof · camera location SECONDS MATTER Alert Control Room WhatsApp · SMS · Call Siren / Hooter if needed Faster Response Verify · escalate · respond SOP + incident record
No new cameras required Works with compatible existing CCTV infrastructure.
On-premise AI processing Video processed locally for faster response and control.
Camera-location alerts Image-based alerts with the exact camera source for faster verification.
Built for response workflows Alerts for control rooms, field teams, sirens, and messaging.

AI Bot Eye complements certified fire safety systems. It helps detect visible fire early through CCTV and alert your team faster.

AI Bot Eye turns your existing CCTV cameras into an AI-powered visual fire detection layer. It detects visible fire in under 5 seconds, identifies the camera location, sends image-based alerts, and helps your team respond faster through control room, WhatsApp, SMS, call, siren, or hooter workflows. Trusted for fire-risk visibility across manufacturing, textile, finance, chemical, industrial, and sensitive environments.

AI Bot Eye is an Intel partner. Read the announcement.

Deployment proof

Manufacturing · hospitality · enterprise

Real deployment contexts

Proven across manufacturing floors, luxury hospitality, and distributed enterprise environments—using existing CCTV infrastructure with AI-powered fire visibility.

Deployed in environments where missed fire visibility is not acceptable.

Restricted environments

Defence · finance · secure facilities

Confidential sensitive deployments

AI CCTV monitoring configured for high-security, high-risk, and restricted environments.

Client identities protected across confidential deployments.

Defence Forward-security intrusion alerting (deployment anonymized).
Finance Multi-floor HQ monitoring and rapid escalation workflows.
Secure Facilities Identity-gated access workflows for protected operations.
International Retail CCTV-based security and movement insights (deployment anonymized).
Why Response Time Matters

CCTV Records the Fire. AI Bot Eye Helps Your Team Act in Time.

Most sites already have cameras watching electrical panels, storage areas, production floors, chemical zones, warehouses, parking areas, utility rooms, and back-of-house spaces. But normal CCTV often becomes useful only after someone notices the incident.

AI Bot Eye changes that. It enables rapid visible fire detection, identifies camera location, and sends image-based alerts so your team can verify and respond while there is still time to act.

What this enables

  • Rapid visible fire detection when fire is in view
  • Image-based alerts with camera location for faster verification
  • On-premise processing options and escalation workflows
SYSTEM_STATE: DEFENSE_ACTIVE MODE: NEURAL_FIRE_SCAN STATUS: OK Traditional smoke sensor: standby until smoke reaches ceiling concentration (~45s+) TRADITIONAL SMOKE SENSOR STATUS: STANDBY AWAITING SMOKE CONCENTRATION Your existing CCTV camera — DVR, NVR, or IP feed (not sold by AI Bot Eye) EXISTING CCTV YOUR IP / NVR FEED AI Bot Eye software / edge device: reads your live CCTV stream and runs visual fire detection AI BOT EYE ON-PREM AI LAYER Event: visible fire detected — evidence snapshot with camera location ready EVENT CARD VISIBLE FIRE DETECTED EVIDENCE SNAPSHOT READY ALERT OUTPUTS Alert route: control room dashboard + camera location ROOM Alert route: on-site siren / hooter escalation SIREN AI visual detection latency from stream analysis to alert: 03.18 seconds DETECTION SPEED 03.18s Critical fire confirmed at camera location CRITICAL: FIRE LATENCY: 03.18s
Fast visual fire detection using your installed camera network: verified on real cameras, with alerts in seconds — a response layer that complements certified fire safety systems.

Tap or hover the diagram to explore how detection works on your existing CCTV.

Before AI Bot Eye

CCTV records the event, but your team may notice it only after smoke, heat, smell, shouting, or damage has already escalated.

With AI Bot Eye

The same CCTV becomes an active visual fire detection layer that detects visible fire in under 5 seconds and alerts the right team.

Result

Your team gets more time to verify, respond, trigger local escalation, and control the situation before the fire spreads.

Operational Transition

Same CCTV. Fire Alerts That Reach the Right Team.

AI Bot Eye connects to your existing DVR, NVR, or IP camera feeds, processes selected fire-risk camera feeds on-premise where required, and routes confirmed fire events to the channels your site already uses — control room, WhatsApp, SMS, call, siren, or hooter.

  • Image alerts with camera location Your team gets visual context and the exact camera source for faster verification.
  • Escalation paths for every site type Send alerts to control rooms, WhatsApp groups, SMS, calls, sirens, or hooters.
  • Fire-only deployment option Enable visual fire detection without activating other AI Bot Eye modes.
  • Human verification stays central Your team verifies the alert and follows your existing fire safety SOPs.

Designed to support your existing fire response SOPs — not replace human verification or certified fire safety systems.

Want to check which cameras can support this workflow?

Check My CCTV Cameras
HARDWARE RELAY INTEGRATION OPTIONS FIRE DETECTION · ALERT ROUTING · EVACUATION CONTROL ① FIRE ② CCTV ③ NVR ④ AI EDGE ⑤ ALERT OUTPUT CCTV CAMERA FEED NVR 16 CH NETWORK VIDEO RECORDER RTSP/ONVIF AI BOT EYE EDGE HUB OPTION A · DISCREET CTRL BUZZER + WHATSAPP ALERT IMAGE BEST FOR HOTELS & HOSPITALS OPTION B · INDUSTRIAL 120dB HOOTER BEST FOR FACTORIES & WAREHOUSES RELAY TRIGGERS VIA GPIO · RS485 · MODBUS · DRY CONTACT

Existing CCTV and NVR/DVR feeds connect to AI Bot Eye edge processing, then route confirmed fire events to WhatsApp alerts, control rooms, sirens, hooters, or other escalation workflows.

BEST-FIT ZONES

Best-Fit Fire Detection Zones

AI Bot Eye works best where CCTV cameras have a clear view of the area where visible fire may appear. During deployment, we help identify the right cameras and zones so the system is configured for practical response, not just generic monitoring.

Electrical Panels & Server Rooms High Risk

Monitor high-risk electrical areas where a few seconds of early visibility can matter.

Chemical & Utility Zones Best Fit

Monitor critical industrial zones where fast verification and alert escalation are important.

Textile, Cotton & Packaging Areas Common

Add visual fire monitoring in areas where flammable material can escalate quickly.

Warehouses & Storage Areas Best Fit

Detect fire visibility in large storage environments where manual monitoring is difficult.

Hotels & Commercial Buildings Good Visibility

Support back-of-house, service, parking, utility, kitchen-adjacent, and control-room monitored areas.

Factories & Production Floors Common

Detect visible fire around machines, production zones, raw material areas, and shop floors.

Also suitable for:

Industrial

Boiler rooms DG rooms Compressor areas Raw material storage Scrap areas

Facility

Campuses Industrial buildings Hotels Warehouses Multi-location facilities (camera visibility)
Existing CCTV compatible Human verification friendly Control room workflow ready

Existing CCTV Upgrade

No New Camera Network. No Expensive Sensor Replacement. Upgrade the CCTV You Already Have.

AI Bot Eye works by connecting to your existing camera feeds. We evaluate camera angle, visibility, lighting, fire-risk zones, DVR/NVR/IP camera access, network conditions, and alert requirements before deployment.

Same CCTV. Smarter response. More time to act.

Detects visible fire in under 5 seconds
BEFORE Normal CCTV

Records what happened

Depends on someone watching live screens

Often reviewed after the incident

No automatic fire-specific alert

No camera-wise fire escalation workflow

AFTER CCTV with AI Bot Eye

Detects visible fire in under 5 seconds

Sends image-based alerts with camera location

Supports your escalation workflow across dashboard, messaging, and siren channels

Helps teams verify and respond faster

Creates a practical visual fire detection layer

Works with site camera feeds

Designed for sites with an installed camera network that want to add AI fire detection without replacing every camera.

Fast visual fire detection Using existing camera feeds, verified on your real cameras, with alerts in seconds.

Best for visible fire-risk zones

Ideal for areas where fire can be seen clearly by camera: electrical rooms, panels, production areas, storage zones, warehouses, utility rooms, and loading bays.

Pilot-first rollout Start with high-risk zones, validate detection and alerts, then expand.

Configured after site review

Every deployment is reviewed against actual camera visibility, not theoretical assumptions.

Response layer, not a replacement Adds visual detection alongside certified fire alarms, smoke/heat detectors, and evacuation systems.

Ready to assess your current CCTV for fire-risk coverage?

Book a demo and our team will review your camera setup, fire-risk zones, and alert workflow in the first call.

Book Fire Detection Demo

How It Works

How AI Bot Eye Fire Detection Works

AI Bot Eye continuously analyzes selected site camera feeds for visible fire. When fire is detected, the system confirms the event, captures visual evidence, identifies the camera, logs the incident, and sends alerts through your chosen escalation workflow.

01 · Connect feeds

Site camera feed is connected

Your selected camera views are connected through DVR, NVR, IP stream, or supported video feed access.

02 · Monitor zones

AI monitors fire-risk zones

AI Bot Eye watches the selected camera views for visible fire and fire-like visual patterns.

03 · Detect fire

Fire is detected in under 5 seconds

When visible fire appears in the camera view, AI Bot Eye detects it quickly and prepares an event alert.

04 · Log event

Event confirmation is logged

The system records the fire event with camera, timestamp, image evidence, and configured zone information.

05 · Send alerts

Alerts are sent instantly

Alerts can go to dashboard, control room, WhatsApp, SMS, phone call, siren, hooter, or other configured workflows.

06 · Verify and act

Human team verifies and acts

Your team receives visual context quickly, verifies the situation, and starts the response process.

Smart Zone Logic

Smart Zone Logic for Practical Fire Monitoring

Not every visible flame should trigger the same alert. Some sites may have authorized flame areas, hot-work zones, furnaces, burners, or controlled fire activity. AI Bot Eye can be configured with smart zones and alert rules so your team focuses on fire events that actually need attention.

  • Ignore authorized zones reduce unnecessary alerts from controlled or known fire areas.
  • Alert outside approved zones trigger faster escalation when fire appears in a non-authorized or risk-sensitive area.
  • Configure by camera and site need rules can be adapted for each location, camera view, risk zone, and workflow.

Deployment checklist teams confirm before rollout

Before deployment, safety and operations teams usually confirm CCTV compatibility, camera visibility, alert workflows, on-premise processing, and false-alarm control.

Existing CCTV Compatibility Works with your current camera network where visibility is clear.
On-Premise Processing Visual fire detection can run locally for faster site-level awareness.
Camera-Visible Risk Zones Best suited where fire, smoke, or sparks are visible to CCTV.
False Alarm Control Smart zones can help ignore allowed or low-risk areas.
Alert Workflow Send alerts to control room, WhatsApp, siren, or escalation teams.
Human Verification Teams can review visual evidence before taking action.
Example: Authorized Fire Zone vs Critical Alert Zone
CAMERA ZONE A AUTHORIZED FIRE [IGNORE] CAMERA ZONE B CRITICAL ALERT > THREAT DETECTED OUTSIDE IGNORE ZONE > DISPATCHING SIREN & SMS...
Smart zone configuration helps reduce nuisance alerts by ignoring authorized fire areas while still triggering critical alerts when fire appears in non-authorized zones.

Deployment Models

Deployment Models for Different Site Needs

AI Bot Eye can be deployed for selected high-risk cameras, full-site monitoring, or multi-location visibility depending on your CCTV setup, fire-risk profile, and response process.

01 · Single site

Single-Site Deployment

For factories, hotels, warehouses, campuses, schools, offices, and commercial buildings.

02 · Multi-site

Multi-Site Monitoring

For groups that want fire alerts and visibility across multiple locations.

03 · Fire-only

Fire-Only Setup

For customers who want AI Bot Eye specifically for fire detection, without enabling other AI modes.

04 · Partner-led

Partner-Led Deployment

For CCTV vendors, fire consultants, IT partners, and system integrators who want to offer AI fire detection to their customers.

Live Demos

Watch AI Bot Eye Fire Detection in Action

See real fire detection demos from different environments. These videos show how AI Bot Eye detects visible fire through CCTV feeds and helps teams receive faster visual alerts with camera context.

  • Real CCTV environments
  • Visible fire detection
  • Camera-wise alert context

Book a demo and our team will review your camera setup, fire-risk zones, and alert workflow in the first call.

Book Fire Detection Demo

Customer Proof

Trusted by Teams Where Fire Response Time Matters

Marwadi Finance AI Bot Eye testimonial
Multi-Floor Building Fire Visibility
“With AI Bot Eye, we get immediate fire alerts pinpointing the exact location. Our team can now respond faster across multiple floors.”
Lakhan Bambhania, CTO Marwadi Shares & Finance
Fiotex AI Bot Eye testimonial
Textile / Cotton Fire Risk
“Detecting fire early is everything in textile manufacturing. AI Bot Eye gives us that early window.”
Gautam Patel Fiotex Cotspin
Orbit Bearings AI Bot Eye testimonial
Industrial Workplace Safety
“AI Bot Eye has significantly enhanced our workplace safety. Its real-time fire detection alerts allow us to act instantly.”
Priyesh Patel Orbit Bearings
Rolex Rings AI Bot Eye testimonial
Chemical & Electrical Risk Zones
“We use AI Bot Eye to monitor critical areas like chemical zones and electric panels. The hooter and mobile alerts give us confidence.”
Bharat Madeka, Director Rolex Rings Limited

From textile and industrial environments to finance buildings and critical risk zones, AI Bot Eye helps teams detect visible fire faster, receive camera-wise alerts, and respond with greater confidence.

Professional Deployment

Not Generic Plug-and-Play.
Professionally Deployed for Your Site.

Fire-risk monitoring depends on camera visibility, lighting, angle, distance, site layout, and alert workflow. That is why AI Bot Eye is deployed after reviewing your actual CCTV setup and fire-risk zones.

  • Compatibility and visibility reviewed on your real feeds, not generic defaults.
  • Fire-risk zones mapped to cameras that can actually see those areas.
  • Alert paths tested with your control room, WhatsApp, SMS, call, siren, or hooter workflows.
Book Fire Detection Demo

Before the Demo

Share These Details for a Better Fire Detection Demo

The better we understand your site, the more useful your demo becomes. Share a few basic details and our team can guide you on camera suitability, fire-risk zones, alert workflows, and possible deployment scope.

  • Camera suitability
  • Fire-risk zones
  • Alert workflows
  • Deployment scope

01 · What to share

What to Share With Us

BUYER INPUTS

A short list so the first call covers real cameras, real zones, and real alert paths.

  • Site type — factory, hotel, warehouse, school, office, plant, campus, or commercial building.
  • Camera count — total cameras and approximate number covering fire-risk zones.
  • Risk areas — electrical panels, machines, chemical zones, storage areas, textile/cotton zones, utility rooms, parking, or kitchens.
  • Current alert process — who currently gets informed when fire or smoke is noticed.
  • Existing CCTV setup — DVR/NVR/IP camera brand, remote access availability, and whether RTSP or camera feed access is possible.

02 · What we evaluate

What We Evaluate

EXPERT REVIEW

We map these to practical deployment — not slide-deck theory.

  • Visibility — whether fire-risk zones are clearly visible through existing camera angles.
  • Lighting — whether day/night visibility is suitable for fire detection.
  • Camera position — whether the camera sees the risk area directly or only partially.
  • Alert workflow — whether alerts should go to control room, safety officer, WhatsApp, SMS, call, siren, or hooter.
  • Deployment scope — whether you should start with selected risk zones or a larger rollout.

Ready to review your CCTV fire-risk zones?

Book a demo and our team will review your camera setup, fire-risk zones, and alert workflow in the first call.

CCTV setup Risk zones Alert workflow
Book Fire Detection Demo

FAQ

FAQs About AI Fire Detection

Clear answers for safety heads, plant teams, IT teams, admin teams, and management before they evaluate AI fire detection.

  • Safety heads
  • Plant teams
  • IT teams
  • Admin teams
  • Management
Will AI Bot Eye replace my fire alarm system?

No. AI Bot Eye complements certified fire alarms, smoke detectors, heat detectors, sprinklers, evacuation systems, and mandatory fire safety systems. It adds an AI-powered visual fire detection layer using existing CCTV cameras.

How fast can AI Bot Eye detect fire?

AI Bot Eye can detect visible fire in under 5 seconds when the fire is visible in the configured camera view. Detection depends on camera visibility, lighting, angle, distance, fire visibility, and site conditions, which are reviewed during deployment.

Will it work with our existing CCTV cameras?

In most cases, yes. AI Bot Eye is designed to work with existing DVR, NVR, IP camera, or CCTV feeds after evaluating camera access, angle, visibility, lighting, and network conditions.

Does the video leave our premises?

AI Bot Eye can be deployed on-premise, so core fire detection processing happens locally at your site. Optional alerts, remote support, or integrations can be configured based on your policy.

Can we start with only a few high-risk cameras?

Yes. Many customers start with selected high-risk zones such as electrical panels, chemical areas, utility rooms, textile/cotton areas, warehouses, or machine zones, then expand after validating detection and alert workflows.

Where does AI fire detection work best?

It works best where the camera has a clear view of the risk area. Common zones include electrical panels, chemical areas, textile and cotton zones, storage areas, warehouses, utility rooms, machine areas, loading bays, parking areas, and back-of-house spaces.

Can AI Bot Eye detect smoke too?

Yes, AI Bot Eye supports visible smoke detection as well. Fire detection is usually positioned first because it is more consistent in real sites. Smoke accuracy depends on camera view, lighting, smoke density, distance, and environmental conditions, so we validate it during a pilot.

Can alerts go to our control room or safety team?

Yes. Alerts can be configured for dashboards, control-room screens, managers, safety officers, site heads, WhatsApp-style escalation, SMS, call, siren, and hooter workflows.

Is this useful for hotels?

Yes. Hotels can use AI Bot Eye in back-of-house areas, service areas, utility rooms, kitchen-adjacent zones, parking areas, stores, and control-room-monitored locations. Optional siren or hooter workflows can be configured based on the site's escalation policy.

What happens in the first demo call?

We review your site type, CCTV setup, camera count, fire-risk zones, and current alert process. Then we suggest which cameras are suitable for AI fire detection and how alerts can be configured for your team.

Get Started

Ready to Check Your CCTV for AI Fire Detection?

Share your camera count, site type, and fire-risk zones. Our team will help you evaluate whether AI Bot Eye can detect visible fire through your current CCTV setup and how alerts can be configured for faster response.

  • Camera count
  • Site type
  • Fire-risk zones
WhatsApp