Show the observations behind the alert
Keep the event clip, monitored region, thermal change, optional operating signals, and progression together so a reviewer can challenge the conclusion.
Leak Sight AI About
Leak intelligence should show its work.
Leak Sight AI supports reliability teams who need more than a signal. The system connects a suspected event to inspectable evidence, a probable source, and a maintenance decision that remains with the operator.
Monitored Zone · V-204Evidence ChainObserve · Verify · Hand Off
Why Leak Sight AI Exists
Close the gap between an alarm and a maintenance-ready record.
Industrial leaks are often discovered after material loss, energy waste, equipment damage, or a safety concern has become visible. Periodic rounds, pressure alarms, and camera feeds each hold part of the answer, but they rarely arrive as one reviewable incident.
Leak Sight AI links supported visual observations with time and optional sensor context. The goal is practical: help a facility find the probable source, inspect the evidence, judge urgency, and initiate its approved response.
- Observe
- RGB, thermal, and optional operating signals tied to a known asset.
- Verify
- Temporal comparison and facility context before escalation.
- Hand Off
- A prioritized incident ready for operator review and maintenance.
Operator ContextThe person reviewing the evidence still owns the critical decision.
A useful incident must fit the facility’s operating procedure, camera constraints, asset language, and approval path. Leak Sight AI supports that work instead of hiding it behind a score.
Photo: Shixart1985 · CC BY 2.0
Operating Principles
Trust comes from inspectability, not certainty.
Industrial decision support earns confidence by preserving source evidence, identifying ambiguity, and making the next human decision explicit.
State what the system cannot see
Buried assets, invisible releases, difficult weather, cleaning, condensation, shadows, and exhaust all shape what visual detection can support.
Leave critical decisions with the facility
Leak Sight AI recommends a response and preserves the evidence trail. Operators confirm the event and follow the facility’s approved isolation and maintenance procedures.
Product Boundary
A defined scope makes the evidence more credible.
Leak Sight AI covers exposed water and steam systems where supported cameras can hold a useful view and operators can validate the result. Other leak classes require sensing suited to their physical signature.
Visible Water & Steam
Above-ground pipes, valves, joints, pumps, and supported utility areas observed with RGB, thermal, and optional operating context.
Non-Visual & Buried Assets
Non-visual releases, buried infrastructure, and events without a usable visual signature require other sensing methods.
Universal or Autonomous Coverage
Leak Sight AI does not promise to detect every leak, guarantee prevention, or control critical safety equipment without human approval.
How the System Improves
Review hard lookalikes, then learn from operators.
Facility calibration establishes monitored zones, operating context, and known lookalikes such as washdown, condensation, exhaust, weather, and shadows. Operator confirmations, dismissals, and annotations show where the evidence is useful and where calibration needs adjustment.
Pilot Qualification
Define a pilot around one visible, measurable facility problem.
Start with 10–30 monitored locations, supported camera types, an operator review path, and success measures tied to the site.