Turn existing industrial cameras into real-time Vision AI intelligence.
Deploy pre-trained and custom Vision AI models for HSE compliance, automated quality inspection, and operational efficiency — without buying new hardware.
In collaboration with
Automate the toughest safety inspections on your floor.
Real-time PPE & hazard detection
Detect missing PPE, exclusion-zone breaches, and slip/fall risk across every camera, continuously — not on a walk-through schedule.
Spill & fire/smoke detection
Catch environmental hazards the moment they appear and route alerts to the people who can act on them.
Quality inspection that scales past manual sampling.
Automated defect detection
High-speed visual inspection on 100% of units, not a sampled subset — 99.2% defect identification accuracy in production.
Assembly & surface verification
Confirm surface anomalies and assembly sequences are correct before a unit moves to the next stage.
Extract operational intelligence from cameras you already have.
Cycle time & bottleneck analytics
Continuously track cycle time, downtime, and worker path to surface bottlenecks as they happen, not after the fact.
Automated alerts, real workflows
Trigger WhatsApp, SMS, webhook, or MES/ERP alerts the moment a detection matters — no dashboard-watching required.
One platform, three ways to see your floor.
Real-time PPE compliance, exclusion-zone breaches, and hazard detection across every camera — shown here with an actual zone-breach detection.
Run a 14-day pilot on your production line
Tell us about your site — we'll scope a structured proof-of-concept on 2–4 of your existing camera streams. No procurement, no rip-and-replace.
Integrates with the cameras and infrastructure you already run
“We do not sell cameras. We elevate your existing CCTV/IP infrastructure.”
BMS Tech.ai is a software and services company. Whatever you already run, our Vision AI layer plugs directly on top.
Compatible with any camera
Hikvision, Axis, Dahua, Hanwha, or any standard RTSP/ONVIF stream.
No new hardware to maintain
No forklift upgrades, no procurement cycles, no rip-and-replace.
Versatile deployment modes
Edge, hybrid, or cloud — whichever fits your infrastructure.
“PPE compliance monitoring that used to depend on periodic manual walk-throughs now runs continuously, on cameras already installed across three plant zones.”
Manufacturing Client — HSE Vision AI Deployment
Built to be trusted with mission-critical inspection.
An end-to-end enterprise platform
- Camera-agnostic — RTSP/ONVIF, any brand you already run
- Model lifecycle management — versioned, monitored, retrained
- SOC 2-aligned security & local edge data privacy
Proven in the field, not just the lab
- 84% reduction in PPE non-compliance across 3 plant zones
- 99.2% automated defect identification accuracy
- 5x faster QA throughput vs. manual auditing
Easy to pilot, easy to scale
- No new camera hardware required
- Edge, hybrid, or cloud deployment — your choice
- Structured 14-day pilot before you commit to anything
Three steps from camera feed to action.
Designed to eliminate adoption friction — your infrastructure, your workflows, our intelligence layer on top.
Connect
Plug into your existing RTSP/IP camera feeds. No new camera hardware required.
Analyze
Edge GPU / cloud inference applies computer vision models in real time, under 100ms latency.
Act
Trigger automated alerts via WhatsApp, SMS, webhooks, or your existing MES/ERP systems.
Quantifiable outcomes, not logo walls.
PPE non-compliance reduced across 3 plant zones in 30 days
Automated visual inspection defect identification accuracy
Faster QA throughput vs. manual auditing
Quality Inspection for Precision Molded & Composite Parts
Proposed engagement — not yet deployedManufacturers producing precision molded and composite components — for aerospace, automotive, and healthcare-grade applications — deal with a consistent set of visual defects that manual inspection catches inconsistently, especially at speed and across shifts:
Our Quality Inspection module is built to recognize this exact taxonomy on every unit, at line speed — using the same automated visual-inspection approach already running in production at 99.2% defect identification accuracy and 5x faster QA throughput than manual auditing. The screens below are illustrative of the interface a deployment like this would use.
See it work on your own cameras before you commit.
We run a structured pilot using 2–4 of your existing camera streams — no procurement, no rip-and-replace, no risk.