AI Fire Detection for Existing CCTV

Detect Fire in Under 5 Seconds Using Your Existing CCTV

We are not selling AI. We are selling TIME — the time to act before a small fire becomes a disaster.

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.

No new cameras required Works with your current CCTV setup and DVR/NVR/IP camera feeds after compatibility review.
On-premise AI processing Video can be processed locally at your site for faster response and better control over sensitive footage.
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Built for real response workflows Built for control-room and field-team alerts, including siren or messaging escalation.
Trusted for fire-risk visibility across manufacturing, textile, finance, chemical, industrial, and sensitive environments.
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
AI Bot Eye is an Intel partner.
Read the announcement.
REAL DEPLOYMENTS

Real Deployments. Real Fire-Risk Zones. Real Response Workflows.

AI Bot Eye is not a lab demo. It is deployed for practical fire-risk monitoring across industrial plants, finance buildings, textile facilities, chemical zones, electrical areas, and multi-camera CCTV environments.

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

  • 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 DETECTOR STATUS: STANDBY AI BOT EYE CRITICAL: FIRE LATENCY: 03.18s DETECTION SPEED 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.

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.

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.
CCTV FeedDVR / NVR / IP stream
AI Edge ProcessingOn-premise fire detection
Event EvidenceImage + camera location
Alert EscalationControl room / WhatsApp / siren
  • 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
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)
Complements — does not replace — certified life-safety systems AI Bot Eye adds a visual response layer on your site camera feeds; keep alarms, detectors, sprinklers, and evacuation systems per code and consultant guidance (e.g. NFPA 72 covers fire alarm and signaling application, installation, inspection, testing, and maintenance).
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.

The goal is simple: use your installed camera network to create a practical AI fire detection layer where traditional sensors may be delayed, absent, blocked, or not positioned for visual risk.

BEFORE Normal CCTV

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

Same CCTV. Smarter response.

More time to act.

AFTER CCTV with AI Bot Eye

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.

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.

Configured after site review

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

Fast visual fire detection Using existing camera feeds, verified on your real cameras, with alerts in seconds.
Response layer, not a replacement Adds visual detection alongside certified fire alarms, smoke/heat detectors, and evacuation systems.
Pilot-first rollout Start with high-risk zones, validate detection and alerts, then expand.

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 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.

1. Site camera feed is connected

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

2. AI monitors fire-risk zones

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

3. 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.

4. Event confirmation is logged

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

5. Alerts are sent instantly

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

6. Human team verifies and acts

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

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 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.

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Single-Site Deployment

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

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Multi-Site Monitoring

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

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Fire-Only Setup

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

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Partner-Led Deployment

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

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.

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
Deployment Process
01
CCTV Compatibility Review

We review your DVR, NVR, IP camera feeds, camera access, camera angle, lighting, and network conditions.

02
Fire-Risk Zone Mapping

We identify the areas where visible fire detection can add the most value — electrical panels, production lines, storage zones, chemical areas, utility rooms, warehouses, and more.

03
AI Configuration & Testing

AI Bot Eye is configured and tested on your actual camera feeds so detection and alerts match real site conditions.

04
Alert Workflow Setup

We configure who gets alerted, where alerts appear, and whether WhatsApp, SMS, call, siren, hooter, or dashboard workflows are needed.

05
Pilot Validation

Your team reviews detection performance, alert timing, and internal response workflow before wider rollout.

The result: a fire detection setup designed around your site, your cameras, your risks, and your response process.

Trusted by Teams Where Fire Response Time Matters

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.

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

AI Bot Eye Adds a Visual Fire Detection Layer. It Does Not Replace Certified Fire Safety Systems.

Important: AI Bot Eye complements certified fire alarms, smoke detectors, heat detectors, sprinklers, evacuation systems, and mandatory fire safety infrastructure. It adds an early visual detection layer through CCTV cameras, helping your team see, verify, and respond faster when visible fire appears in camera view.

Your existing fire safety compliance, alarms, and evacuation systems should remain in place as required by local rules, consultants, insurers, and authorities.

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.

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.

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

FAQs About AI Fire Detection

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

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.

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.