Fire and smoke monitoring
Analyse supported camera feeds for fire, smoke and persistent visual risk indicators.
FireGuard AI
Turn existing cameras into an intelligent factory-safety network.
An AI-powered visual safety assistant that monitors camera feeds, structures incidents, captures evidence and supports faster escalation.
Detect early. Alert instantly. Respond with evidence.
The Product
From operational friction to a clearer workflow.
An AI-powered visual safety assistant that monitors camera feeds, structures incidents, captures evidence and supports faster escalation.
Innobiz has shaped this product around practical user actions, clear review points and a focused business outcome rather than adding technology for its own sake.
Built with AI-assisted product engineeringRapid iteration and structured vibe coding, guided by human problem framing, workflow design and validation.
Key Capabilities
Everything needed for the core job to be done well.
The feature set stays focused on the workflow and the result the user is trying to achieve.
Early-warning intelligence
Move confirmed events through analysing, early warning, warning and critical stages.
False-positive safeguards
Use persistence, appearance, movement and corroboration controls rather than treating colour alone as fire.
Evidence-rich incidents
Capture timestamped photographs, short incident clips, timelines and acknowledgement history.
Alerts and escalation
Notify designated contacts through the command centre, audible alarms, email and WhatsApp, with staged escalation.
Virtual safety officer
Summarise active incidents, camera health, response performance and management priorities using grounded system data.
How It Works
A clear path from input to action.
Connect cameras
Add supported webcams, mobile streams, uploaded video, HTTP/MJPEG or RTSP sources.
Choose monitoring profile
Select standard, high-risk or a custom sensitivity and confirmation profile.
Monitor continuously
Analyse live feeds and surface conditions requiring attention.
Detect and confirm
Evaluate confidence, persistence and false-positive controls before escalation.
Alert and document
Create the incident, notify responders and preserve evidence.
Review and improve
Classify outcomes, analyse response history and curate feedback for model improvement.
Available in the current platform
- Fire and smoke detection
- Early-warning stages
- Spark and electrical-arc monitoring
- Crowd-density and rapid-gathering monitoring
- Incident, evidence and escalation workflows
- Email and WhatsApp notifications
- Safety assistant, analytics and learning feedback
Next areas of development
- PPE and restricted-zone monitoring
- Fall, inactivity, smoking, leak and spill detection
- Industrial siren, relay and alarm-panel integration
- Secure mobile acknowledgement
- Multi-site enterprise management
- Compliance and management reporting
Who It Is For
Designed for users with a clear operational need.
- Manufacturing plants
- Pharmaceutical facilities
- Warehouses and packaging areas
- Electrical and battery-charging zones
- Chemical and solvent storage
- Production and logistics facilities
- Industrial campuses
Business value
Faster awareness
Support continuous visual monitoring without depending entirely on someone watching every screen.
Evidence-led response
Give supervisors the camera, location, confidence, images and clips needed to understand the event.
Stronger accountability
Maintain alerts, acknowledgements, escalation and resolution records in one incident history.
Trust & responsible use
An additional safety layer—not a replacement for certified systems
FireGuard AI supports visual monitoring and incident response. It does not replace certified smoke detectors, fire alarms, sprinklers, emergency procedures or mandatory life-safety equipment. Delivery and confidence states are represented truthfully and should be validated during a controlled pilot.
FireGuard AI
Discuss a controlled FireGuard AI pilot.
Identify priority risk zones, connect selected cameras and validate the workflow before expanding deployment.