Intelligent Alert Triaging & False Positive Alarm Suppression

An automated automotive body stamping and robotic welding plant generating over 45,000 raw sensor alarms daily across 350 robotic welding cells.

reduction in total alarm noise and nuisance false positives: 88%reduction in total alarm noise and nuisance false positives
mean Time to Detect (MTTD) critical equipment failures reduced: 45 minutesmean Time to Detect (MTTD) critical equipment failures reduced

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Control room operators were overwhelmed by nuisance alarms and false positives triggered by transient electrical spikes and minor conveyor jitter.
High alarm volumes caused operators to acknowledge alarms reflexively without investigation, leading to missed critical warnings.
A catastrophic weld gun transformer burnout caused a 12 hour complete assembly line shutdown after warning alerts were buried in noise.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Drishti correlates raw sensor alarms with operational context, machine state, and historical fault signatures in real time.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

88% reduction in total alarm noise and nuisance false positives across all welding lines.
Mean Time to Detect (MTTD) critical equipment failures reduced from 45 minutes to 30 seconds.
Zero catastrophic line outages caused by unaddressed or buried high severity equipment alerts.

Capabilities this relies on

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