Case stories/Manufacturing · Safety
delivered · AI + IoTAn industrial-safety solutions firm (RAKsoft)

AI furnace safety monitoring

AI watching a furnace for the unsafe conditions a human can't stare at continuously.

Client
An industrial-safety solutions firm (RAKsoft)
Sector
Manufacturing · Safety
Status
delivered · AI + IoT
Platform
InfiIoT
furnace sensingAI detectionreal-time alertsInfiIoT
AI furnace safety monitoring
The situation

Furnace conditions change continuously, while an operator cannot watch every process signal throughout the shift. The system needed to identify unsafe combinations rather than add another trend screen.

The hard part

Combine IoT sensing with AI to detect unsafe furnace conditions in real time and alert before a situation becomes an incident.

What we built on InfiIoT

The solution, layer by layer.

Continuous sensing

Temperature and process signals stream continuously from the furnace environment.

AI condition detection

Models flag combinations of process signals that require attention between routine operator checks.

Immediate safety alerts

Detected risk routes instantly through InfiIoT's channels to the people who can act.

Event history

Every alert and condition is logged for safety review and audit.

The outcome
real-time
unsafe-condition detection
24/7
watch a human can't sustain
logged
safety event history

Figures are recorded outcomes or project targets. The status label identifies reference architectures and proposals.

Have a problem shaped like this one?

Bring the asset, its current data path, and the decision that is still being made manually. We will map the first useful scope.

Connected-product assessment

Bring one product. Leave with a clear next step.

Use 30 minutes to test the fit around one product and one blocked decision. If there is a fit, we will outline the two-week Product Blueprint.

30-minute fit callOne productNo prepared deck