
Integrator Margins
40-50%
Edge AI
The VisionHub.FAD platform radically solves the challenge of traditional fire protection systems by turning existing CCTV cameras into a smart "layer of defense". Detects the risk of fire from the first spark, gives an instant warning, and completely eliminates false alarms that cause production stalls.
Zero-friction Retrofit
Take advantage of 100% of existing IP cameras (Hikvision, Dahua, Axis...). Do not chisel the factory, do not run the wires again. The system operates independently right at the edge (On-premises).
- 99% False alarm removal
- <10s Alert Delay
CORE TECHNOLOGY: F.A.D REASONING ENGINE
Early Detection (L0)
Detects smoke and sparks at the first stage, tens of minutes faster than traditional ceiling heat/smoke sensors.
False Alarm Cancellation (VLM)
Built-in Visual Language (VLM) AI to "understand" context. Automatically distinguish workers who are welding, steam discharging pressure from real electrical short-circuit incidents.
Removing the "Floating Smoke" Blind Spot
Radically overcome the physical limitation (Stratification) in >8m high ceiling workshops, where the smoke is cooled and cannot reach the ceiling sensor.
Instant Proof Validation
Automatically crop the video/image right at the moment of the incident and send it directly to the Zalo/Telegram Group of the Management Board for authentication before howling.
Compatible with all camera standards
Communicates directly with RTSP/ONVIF streams. Supports cross-platform hardware from Rockchip, Qualcomm to NVIDIA Jetson with the same software core.
Easy VMS Integration
Ready to push alerts (XML/JSON, Webhooks) directly into the contractor's centralized management systems (Milestone, NX Witness, PSIM).

Don't Let Fake Alarms Drain Your Profits
Discover how VisionHub.FAD protects assets, maintains production, and optimizes your existing fire protection system with the lowest cost of investment (TCO).


Trace the Incident Root
No need to scroll through hours of footage.
The system automatically clips and organizes key moments along a timeline: from smoke initiation → fire outbreak → spreading.
- Watch this feature demo →









