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Thermal EvidenceMeasure the change around the asset
Compare the region with adjacent pipework and its recent thermal history.
Industrial leak evidence for exposed water & steam assets
See the leak before the next inspection round.
Leak Sight AI combines RGB video, thermal imagery, and operational context to find a probable source, show the evidence, estimate urgency, and start the right maintenance response.
Scope: visible water and steam leaks around above-ground pipes, valves, joints, and pumps.
North Utility Loop
Review RecommendedValve V-204Thermal & visual evidence aligned
Leak Sight AI system view
Representative FacilityMonitor the utility loop, not an abstract risk.
Cooling towers, valves, joints, pumps, and exposed transfer lines create specific camera views and access constraints. Leak Sight AI starts with those known locations.
Evidence Before Escalation
A suspected leak should arrive with context.
A pressure deviation alone may not locate a source. A single frame may mistake washdown or exhaust for a leak. Leak Sight AI assembles the evidence operators need to make a reviewable decision.
Thermal Evidence01
Signal ContextCheck whether the event persists
Align visual progression with optional operating signals before escalation.
The Operating Gap
Leaks often become obvious after the useful response window.
Periodic inspections, pressure-only alarms, and fragmented camera monitoring each reveal part of the picture. Reliability teams still have to locate the source, judge urgency, and collect enough evidence for action.
Inspection Gaps
Exposed assets can change between scheduled rounds, especially across large sites.
Weak Location Evidence
A process signal can indicate loss without showing which joint, valve, or pump needs review.
False-Alarm Fatigue
Condensation, cleaning, weather, shadows, and exhaust can resemble leak signatures.
Fragmented Handoffs
Clips, sensor trends, and inspection notes often reach maintenance as separate artifacts.
Detection Workflow
From a changing pixel to a maintenance-ready incident.
The system treats detection as a sequence, not a single model output. Each stage narrows uncertainty while keeping an operator in control of the response.
- 01Inputs stay tied to a known camera, asset, and monitored zone.
Ingest the available evidence
Combine supported RGB and thermal streams with optional pressure, flow, acoustic, weather, and asset context.
- 02The supported scope covers visible water and steam around exposed equipment.
Detect a visual change
Evaluate dripping, pooling, steam, thermal differences, staining, corrosion, and damaged insulation.
- 03Facility calibration and temporal evidence matter as much as a single frame.
Verify it over time
Compare the event with recent frames and operating conditions so cleaning, condensation, shadows, and exhaust are less likely to become alarms.
- 04Operators can confirm or dismiss the event and preserve their reasoning.
Create a prioritized incident
Package the probable source, location, severity, confidence, evidence clips, and recommended response for operator review.
- 05Confirmed incidents can be exported through integrations approved for the facility.
Move it into maintenance
Export a confirmed event into the facility’s maintenance workflow with the evidence needed to assess and schedule the work.
Incident Record
An alert the shift team can inspect, challenge, and route.
Every incident keeps the probable source, location, supporting observations, and suggested next action together. Operators can confirm or dismiss it without losing the evidence trail.
High Severity
Suspected steam leak
Valve V-204 · North utility loop
92%Confidence
Evidence Reviewed
- Thermal anomaly+18 °C above adjacent pipework
- Visible plumePersistent across 47 seconds of video
- Pressure deviationOutside the recent operating band
- Event progressionPlume area increasing between observations
Event Progression
- Thermal difference detected
- Visible plume persists
- Pressure context supports review
Recommended Next Action
Inspect the valve packing and isolate the line according to the facility’s approved procedure.
Product Scope
The pieces required for credible visual detection.
Concrete capabilities for exposed water and steam systems, without claiming to see every fluid, gas, or buried asset.
RGB & thermal analysis
Review visible changes and heat patterns around exposed pipes, joints, valves, and pumps.
Temporal event tracking
Follow how a suspected leak persists, spreads, or clears instead of judging one image in isolation.
Sensor fusion
Compare video evidence with optional pressure, flow, acoustic, weather, and asset signals.
Facility calibration
Tune monitored zones and thresholds to the site’s equipment, camera angles, and operating patterns.
Explainable evidence
Give operators the event clip, region of interest, signal changes, confidence, and progression.
Edge inference
Process supported camera streams on site, including facilities with limited connectivity.
Operator feedback
Let teams confirm, dismiss, and annotate incidents so calibration reflects real operating conditions.
Maintenance export
Send confirmed incidents and their evidence into an approved work-order process.
Local video processing
Keep sensitive video on site and synchronize event metadata or clips only when policy allows.
Where to Start
Facilities with exposed, high-consequence utility loops.
Water-treatment plants
Pumps, valves & exposed process water lines
District cooling
Chilled-water loops & mechanical rooms
Food & beverage
Water, steam & washdown-adjacent equipment
Pharmaceutical plants
Visible utility lines in controlled areas
Data centers
Cooling distribution & plant rooms
Industrial campuses
Distributed above-ground water & steam assets
Edge & Data Architecture
Review video where it is produced. Move only what policy allows.
Leak Sight AI uses NVIDIA Jetson for on-site inference, TensorRT for optimized model execution, and DeepStream for supported multi-camera pipelines. These technology references do not imply a partnership or endorsement.
- Event-only cloud synchronization where appropriate
- Encrypted transfer and configurable retention
- Role-based access controls and audit logs
- Facility calibration, performance monitoring, and operator feedback
Facility Boundary
Supported InputsRGB · Thermal · Sensors
On-Site InferenceDetect · Compare · Verify
Policy-Controlled OutputIncident Record & EvidenceEvent metadata or approved clips
Operator ReviewMaintenance Export
A Bounded First Deployment
A 3-month pilot built around 10–30 monitored locations.
Start with one supported RGB camera type, one supported thermal camera type, and a selected set of exposed assets. Calibrate for the facility, review alerts with operators, and export confirmed events into an agreed maintenance workflow.
3Months
10–30High-Risk Locations
2Supported Camera Types
Measure What Matters at the Site
No invented target rates. Establish the baseline, then assess the pilot against:
- Leak detection rate
- False alarms per camera per week
- Time from onset to detection
- Manual inspection hours reduced
- Estimated material or water loss avoided
- Alerts operators considered useful
- Time required to deploy a new camera
Trust Includes Boundaries
Leak Sight AI supports the decision. It does not replace the procedure.
Some buried or invisible leaks require non-visual sensing. Weather, cleaning, condensation, shadows, and exhaust can resemble leak signatures. Every deployment requires facility calibration and temporal review.
Customer video can expose confidential processes. On-premises processing, encryption, configurable retention, strict access controls, and audit logs reduce that risk. Human approval remains required for critical actions.
Pilot Qualification
Bring one facility and a real inspection problem.
Share enough context to assess camera fit, exposed asset coverage, operational constraints, and a measurable pilot scope. The team will not ask for sensitive process video in this form.
Useful Before You Submit
- Known high-risk valves, joints, or pump areas
- Current inspection and escalation process
- Camera, network, and retention constraints