Water Pooling and Mudrush Risk AI

Classify wet muck, seepage, and standing water at every drawpoint and drive, and flag mudrush risk before mucking.

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A dark, wet mine tunnel with purple detection boxes highlighting water seepage, wet muck, and pooled water on the floor.

Mudrush Risk AI for the Toughest Block Caves, Sublevel Caves, and Underground Drives

  • Deploy Anywhere, Run Everywhere

    Run mudrush risk monitoring on loader-mounted, drawpoint, and handheld cameras on the edge, on-prem, in your VPC, or via API.

  • One Platform, Full Adoption

    Tools every underground team can adopt, from geotechnical engineers to production supervisors and shift bosses, no separate ML team required.

  • Secure, Compliant, and Audit-Ready

    Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.

  • Wet vs. Dry Muck Classification per Drawpoint
  • Fines Content at the Drawpoint
  • Seepage & Water at the Brow
  • Water Pooling in Drives & Crosscuts
  • Drawpoint Risk Trends by Shift
  • Remote Loader & Exclusion Zone Checks

Talk to a Vision AI engineer who's shipped in underground mining.

Bring us your toughest drawpoint and water problem and we'll map a working solution.

Ask us about:

  • Solution architecture that fits your cave, drawpoint classification, and draw control system
  • A live demo on your own drawpoint and drive images
  • Deployment options: edge, on-prem, air-gapped, VPC, or on the loaders, cameras, and network your mine already runs
  • ROI modeling against mudrush events, equipment damage, production delays, and dilution

Over 80,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

  • Automotive customer

    $10 million

    Saved by automatically detecting defects on the production line

  • Logistics & freight company

    90%

    Less time spent manually tracking shipping inventory

  • Building materials supplier

    60%

    Lower customer return rate with improved product quality

Watch Every Drawpoint, from the Brow to the Drive Floor

Add a real-time monitoring layer to every drawpoint and drive with Roboflow Vision AI for water pooling and mudrush risk. Built for block caves, sublevel caves, and wet underground mines where fines and water build up at a drawpoint until mucking sets off a mudrush, and standing water hides the next problem.

At the drawpoint:

  • Segment and classify the muck at each drawpoint as dry, damp, or wet from loader, fixed, or handheld camera images, with a model trained on your own ore and lighting.
  • Estimate fines in the muck pile with the same approach as rock fragmentation analysis.
  • Detect seepage, dripping, and running water at the brow and walls, and flag drawpoints where it is new or growing.

In the drives:

  • Find standing water and pooling on drive and crosscut floors, and measure how much of the floor it covers.
  • Watch sumps and drains for blockage and rising water before roadways flood.
  • Spot mud carried out of drawpoints and soft floor that slows loaders and wears tires.

Risk records and response:

  • Keep a dated image and classification for every drawpoint, every shift, to support your mudrush risk classification and draw decisions.
  • Alert the shift boss and control room when a drawpoint changes class, so it can be held, mucked remotely, or reassessed.
  • Check that only remote loaders, and no people, enter drawpoints flagged as high risk, using the same models as heavy equipment detection.

Bring intelligence to every drawpoint today. Stop wet muck and standing water from becoming a mudrush or a flooded drive.

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Frequently asked questions

What is water pooling and mudrush risk monitoring with Vision AI?

Water pooling and mudrush risk monitoring with Vision AI uses cameras on loaders, at drawpoints, and in drives with a trained computer vision model (opens in a new tab) to classify drawpoint muck as wet or dry, estimate fines, detect seepage and standing water, and keep a dated record for every drawpoint. It works well with rock fragmentation analysis, slope stability monitoring, and the rest of computer vision in mining.

What causes a mudrush?

A mudrush, or wet muck spill, happens when fine material and water build up at a drawpoint. Fines come from fragmentation in the draw column, water comes from surface and groundwater inflow, and mucking can trigger the sudden flow. The risk grows as caves mature, get deeper, or break through to the surface or into an older cave above.

Does it work alongside drawpoint sampling and risk models?

Yes. Mines classify drawpoints by fines content and water saturation from sampling, and feed draw data into susceptibility models. Cameras add a consistent visual read of every drawpoint on every shift, with an image for each record, and the results can feed the same risk classification and draw control systems.

Roboflow serves as the classification engine, and your geotechnical and production teams own the risk classes, draw rules, and response.

Can it integrate with our draw control and mine systems?

Yes. Roboflow sends drawpoint classifications, water detections, and images over REST (opens in a new tab) or MQTT, or writes them to a database, so they land in draw control, mine planning, and SCADA systems. Alerts can go to the control room or shift boss the moment a drawpoint changes class.

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