Platform overview
AI Bot Eye
AI Bot Eye Platform Overview
Your cameras already see it. AI Bot Eye makes sure the right people know — sooner.
Fire first on the CCTV you already have. Other modes when you need them. On-site AI alerts with image, site and camera context.
Simple explainer
That’s what we do.
Your cameras already watch the site. AI Bot Eye turns the right views into on-site alerts the responsible people can act on.
01 · Input
Your existing CCTV
Use the cameras already covering critical areas — no rip-and-replace camera project.
02 · On-site AI
AI Bot Eye watches
On-site AI watches selected views for visible fire first — and other modes when you need them.
03 · Output
Alert to your team
The right people get context they can verify — not a vague alarm with no location.
Definition
One clear answer
What AI Bot Eye does
AI Bot Eye for existing CCTV is an on-site AI alert layer on cameras you already have. Fire is the primary focus: when visible fire appears in a configured view, your team can get the image, site and camera — so they can verify and act sooner. Other modes are available when you need them.
What you get
- On-site AI alerts on existing CCTV
- Fire-first early warning with image, site and camera context
- Related modes when you need them (intrusion, stack light, ANPR / PPE / people analytics)
- Processing that can stay inside your facility
Works alongside certified fire systems — not a replacement.
Flagship capability
Primary commercial focus
Fire first
Visible fire on a camera you already have can become a location-specific early warning — image, site and camera to the people who need to act.
01 · Product
AI Fire & Smoke Detection
On-premise visual fire early warning on compatible CCTV, with camera-location alerts and response workflows.
Explore fire detection →02 · Feasibility
Can existing CCTV detect fire?
When the cameras you already have are suitable — and what a Camera Suitability Review checks.
Read the feasibility guide →03 · Reliability
Camera Health Monitoring
Know when selected feeds are frozen, blank, obstructed or unstable — before you rely on them.
Explore camera health →Related capabilities
Platform map
Fire first. Other modes when you need them.
After fire confidence, the same camera intelligence can support selected security and operations needs — configured per site.
Site security
Intrusion detection and restricted-area monitoring on existing CCTV views.
Intrusion detection →Industrial operations
Stack-light monitoring and selected process visibility for plant floors.
Stack Light Monitoring →Access, PPE and people analytics
ANPR, PPE compliance and selected people analytics — configured where they add operational value.
Explore related modes →Who it is for
Serious operating environments
Built for environments where cameras already watch what matters
Manufacturing, chemical and high-risk operations, hotels, warehouses, multi-site enterprise and privacy-sensitive corporate sites — not consumer or public-surveillance framing.
Deployment
Site control
On-site by design
AI Bot Eye for existing CCTV is built so core detection can stay inside the facility — including designs for isolated CCTV / NVR networks.
Processing can stay on site
Core detection runs near your CCTV / NVR. Continuous video need not leave the facility for analysis.
Alert paths by policy
Local hooter can work without public internet. SMS needs mobile network. WhatsApp and cloud dashboards need internet.
Your NVR stays yours
Customer recording remains separate. Optional remote support and connected channels follow your organisation’s policy.
Proof
Named deployments
Proven where cameras already watch what matters
Real operating environments — manufacturing, hospitality, chemical, distributed enterprise and privacy-sensitive corporate — with deployment context you can read in full.
Manufacturing
Rolex Rings LimitedCritical manufacturing zones on existing CCTV — fire first, then selected operations modes.
View Rolex deployment →Hospitality
The Leela Palace New DelhiLuxury hotel control-room evaluation on existing CCTV / NVR infrastructure.
View Leela deployment →Chemical · Multi-site
KwalichemMulti-site chemical operations with site-wise configuration and response design.
View Kwalichem deployment →Distributed enterprise
Eastman Auto & PowerDistributed industrial monitoring with fire and selected operational visibility.
View Eastman deployment →Corporate · Privacy-first
Marwadi Shares & FinanceOn-site processing for a privacy-sensitive corporate environment.
View Marwadi deployment →All deployments
Deployments hubBrowse the full set of named deployments and how sites evaluate AI Bot Eye.
See all deployments →How teams evaluate
Practical path
Check the view. Learn the site. Prove it works.
Customers usually begin with selected critical areas and expand after confidence. Timelines vary — because the responsible team owns the process.
Check the view
Priority areas, camera visibility, angles, image quality and stream availability.
Learn the site
Selected cameras adapt to their normal environment and recurring non-event patterns.
Prove it works
Controlled demonstrations test detection and the full camera-to-response path on your views.
Go live
Approved cameras and configured alert routes — under your organisation’s response process.
FAQ
Quick answers
Common questions about AI Bot Eye
What is AI Bot Eye?
AI Bot Eye for existing CCTV is an on-site AI alert layer on cameras you already have. Fire is the primary focus: when visible fire appears in a configured view, your team can get the image, site and camera — so they can verify and act sooner. Other modes are available when you need them.
Does AI Bot Eye work with existing CCTV?
Yes — in most cases with suitable existing business CCTV. AI Bot Eye connects to a usable live feed from your CCTV, NVR or DVR. Camera brand is rarely the blocker. A short review confirms which priority views are ready.
Does it replace certified fire alarms or the fire panel?
No. AI Bot Eye is an additional visual early-warning layer alongside certified fire detection, alarms, panels and suppression. It does not replace those systems and does not integrate with, verify or suppress customer fire-panel alarms.
Is processing on-premise?
Core detection and processing can stay on site, including designs for isolated CCTV / NVR networks. Continuous video need not leave the facility for analysis. Connected channels such as WhatsApp or cloud dashboards require the relevant network access.
Is fire the only capability?
Fire is the primary commercial focus. Related modes — intrusion, stack-light monitoring, ANPR, PPE and selected people analytics — can be configured when a site needs them. Camera Health helps keep selected feeds reliable.
How do we evaluate it on our cameras?
Request a prove-it demonstration on your own suitable views. The team reviews priority cameras, runs a controlled demonstration of the camera-to-response path, and recommends a practical pilot or deployment approach.
Continue
Related resources
Next step
Prove it on your cameras
Request a demonstration using suitable existing CCTV views. We will review the relevant cameras, run a controlled camera-to-response demonstration, and recommend a practical next step.