Leak & Spill Detection AI

Add a continuous detection layer to every floor with vision AI for leak and spill detection. Built for the facilities where a drip under a machine is a failure giving notice, a clear puddle on gray concrete is invisible until someone's on the ground next to it, and the containment berm does its filling on the shift nobody walks. Whether you're running a machine shop, a food plant, or a warehouse, Roboflow watches floors, equipment, and containment continuously, with zone alerts and records behind every response.

Leaks and Drips:

• Detect oil, coolant, and hydraulic drips under equipment as they start, and trend them by machine, so the drip becomes a work order instead of a failure
• Watch fittings, hoses, and pumps continuously, the spots between your point sensors
• Monitor containment berms, sumps, and SPCC areas, so the weekend fill gets a response before the overflow

Spills and Safety:

• Flag spills and puddles on walkways and aisles within moments, and route the alert to whoever holds the mop and the cones
• Tell growing from static, because a puddle that grows is a leak and one that doesn't is a spill, and each needs a different response
• Support sanitation programs in food plants, where a spill is a slip hazard and a hygiene event at once

Response, Records, and Systems Integration:

• Route alerts by zone to EHS, maintenance, or sanitation, with the image attached to every notification
• Keep records with imagery and timestamps for OSHA logs, SPCC inspections, and incident investigations
• Integrate with CMMS, SCADA, and alerting systems, so the work order is created with the photo already on it

Bring intelligence to every floor today. Stop leaks and spills from becoming recordable injuries, environmental reports, or the failure that gave weeks of notice nobody saw.

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More About Leak and Spill Detection

What is leak and spill detection with Vision AI?

Leak and spill detection with vision AI uses computer vision models to watch facilities continuously: oil, coolant, and hydraulic drips under equipment, spills and puddles on floors and aisles, containment berms and SPCC areas, and spread tracking that tells a growing leak from a static spill. Models trained on your actual floors and lighting alert by zone within moments, with imagery-backed records that support OSHA, EPA SPCC, and FSMA documentation.

Can Vision AI tell a spill from a shadow?

The plant floor is the false-alarm hard case: clear liquid on gray concrete reads as almost nothing, polished floors throw reflections that look like puddles, forklifts drag shadows through every frame, and a system that cries wolf gets muted by Friday. Deep-learning models trained on your actual floors, finishes, and lighting learn what your concrete looks like wet, dry, shadowed, and reflective, flag the sheen that's actually liquid, confirm by watching whether it spreads, and route uncertain frames for a look instead of an alarm, which is how the alert stays something people respond to.

Does this replace our leak sensors and flow monitoring?

No. Point sensors keep their posts: the float in the sump, the cable under the tank, the flow meter that notices a loss, and gas detectors keep owning what vision can't see. Vision AI covers the floor between the sensors: the drip from a fitting no sensor guards, the puddle spreading across an aisle, the berm filling where the float hasn't tripped yet, and it shows you what and how big instead of only that a level changed. Sensor events and visual detections land in the same record, with the image attached.

Can it integrate with our CMMS, SCADA, and alerting tools?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so detection events flow into your existing systems: CMMS and maintenance platforms, SCADA and HMI platforms like Ignition and AVEVA, alerting and messaging tools, and MES and ERP platforms like SAP and Oracle, through REST, MQTT, OPC UA, and direct database writes. Zone-level integration routes each alert to the right team the moment liquid is detected, and every event carries zone, timestamp, imagery, and response, with a full record behind every incident and inspection.

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