Verified deployment proof
AI Bot Eye Deployments
These AI Bot Eye deployments show how safety and operations teams across factories, hotels and multi-site facilities turned existing CCTV into alerts the right people could act on.
Real sites. Real operating problems. Real response paths.
Featured deployments
AI Bot Eye deployments closest to your environment.
A CNC plant, a hotel control room and a multi-site chemical operation need very different forms of visibility and response—start with the AI Bot Eye deployment that matches your site.
01 · Manufacturing
AI Bot Eye deployment at Rolex Rings Limited
From passive CCTV to fire and machine-status events.
- The situation
- CNC manufacturing needed actionable events from passive CCTV in critical zones.
- What was deployed
- Fire/smoke monitoring in critical zones, followed by Stack Light Monitoring.
- How the response worked
- Local siren, SMS and control-room dashboard.
- What it demonstrates
- Existing CCTV became an AI event layer—fire built trust; Stack Light Monitoring proved the platform.
“We use AI Bot Eye to monitor critical areas like chemical zones and electric panels. The hooter and mobile alerts give us confidence.”
02 · Hospitality
Control-room response path
From another alert to a verified control-room response.
- The situation
- The hotel control room needed local visual verification and a clear response path using its existing CCTV/NVR.
- What was deployed
- Fire/smoke visibility with local processing for control-room assessment.
- How the response worked
- The control room reviews the event and then follows the hotel’s own internal response process.
- What it demonstrates
- The control room sees the event, checks the camera and follows the hotel’s own response process.
03 · Multi-site chemical
Site-wise siren routing
From central visibility to the right siren at the right site.
- The situation
- Multi-site pigment plants needed to know which site, camera and team should respond.
- What was deployed
- Edge AI fire detection on selected CCTV/NVR feeds at each site.
- How the response worked
- Central dashboard and SMS, with the siren activated at the detecting site.
- What it demonstrates
- Fire at that site, siren at that site—with central visibility.
More operating environments
When the operation is distributed—or the data is sensitive.
See how the same platform adapts to enterprise scale and privacy-sensitive environments.
Distributed enterprise
Eastman Auto & Power
One central view across distributed operations.
Passive CCTV across offices, plants, warehouses and godowns became actionable event visibility—with fire/smoke as the safety anchor and Area Clearance where movement in designated areas matters.
Distributed enterprise monitoring with central event visibility and an automated incident workflow.
Privacy-first corporate
Marwadi Shares & Finance
“With AI Bot Eye, we get immediate fire alerts pinpointing the exact location. Our team can now respond faster across multiple floors.”
Faster, location-specific alerts while core processing stays on-site.
Sensitive buildings need verified, local and controlled response—not only faster alerts. Processing stayed on-site; alerts reached the local dashboard and SMS, with human verification before siren response.
Privacy-sensitive corporate deployment with on-site processing and location-specific alerts.
Collective proof
What these AI Bot Eye deployments collectively demonstrate
Different sites. The same shift: CCTV stops being only a record of what happened and starts helping the right people act while there is still time.
- 01 Recording
- 02 Event
- 03 Correct location
- 04 Human response
Existing CCTV becomes an active event layer.
Core processing and control can remain on-site.
Response can be local, central or both.
Each deployment adapts to the site’s actual operating conditions.
How we prove it
See it work before you deploy it.
A live demonstration proves detection and the alert path on suitable camera views. A deployment shows how that workflow is adapted and used in a real operating environment over time.
The next proof can come from views on your own site.
See live fire-detection proofSee AI Bot Eye deployments in the field
These named examples show how AI Bot Eye was configured around each site’s cameras, operating conditions and response process.
Prove the complete path on your cameras
We test suitable views, confirm detection, identify the correct camera and location, and show exactly how the alert reaches your team before deployment.
Prove It on Your CamerasYour deployment will be built around your cameras, site conditions and response process. AI Bot Eye works alongside certified fire systems; it does not replace them.
How proof continues
Check the view. Learn the site. Prove it works. Go live.
We do not ask you to trust a brochure. We check the views, learn the site, prove the complete alert path and activate only what has been proven.
01
Check the view
Choose the risk areas that matter and confirm the existing camera can actually see them.
02
Learn the site
Adapt around lighting, layout, activity and recurring non-fire patterns.
03 · Decisive step
Prove it works
Run controlled tests and verify that detection, location and alert delivery all work.
04
Go live
Activate the proven views and connect them to the response path your team already uses.
Next step
The next proof should come from your own cameras.
Bring us the camera views you worry about most. We will run controlled tests, show what AI Bot Eye can see and prove exactly where the alert goes before you decide.
Your cameras. Your risk areas. Your response path.
AI Bot Eye works alongside your certified fire systems as an additional visual early-warning layer.