TLO Wagon Spillage Detection AI

Check every wagon leaving the train load-out for overfill, off-center loads, material on sills, and open doors.

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Coal being loaded into train wagons from an overhead chute, overlaid with purple computer vision bounding boxes and labels for 'off-center' coal, 'profile', and 'coal_on_sill'.

TLO Wagon Spillage AI for the Toughest Coal, Iron Ore, and Bulk Rail Load-Outs

  • Deploy Anywhere, Run Everywhere

    Run TLO wagon spillage detection on load-out, track-side, and under-wagon cameras on the edge, on-prem, in your VPC, or via API.

  • One Platform, Full Adoption

    Tools every load-out and rail team can adopt, from load-out operators to rail coordinators and environmental leads, 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.

  • Load Profile & Central Alignment per Wagon
  • Overfill & Spill Over the Sides
  • Material on Sills, Ledges & Couplers
  • Door Closed Checks Before the Main Line
  • Spillage on Track & Ballast at the TLO
  • Wagon Number Reads & Per-Wagon Records

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

Bring us your toughest load-out spillage problem and we'll map a working solution.

Ask us about:

  • Solution architecture that fits your load-out, wagons, rail network rules, and dust management plan
  • A live demo on your own load-out camera footage
  • Deployment options: edge, on-prem, air-gapped, VPC, or on the cameras and network your load-out already runs
  • ROI modeling against track cleaning, terminal complaints, lost product, and train delays

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

Check Every Wagon, from the Load-Out Chute to the Main Line

Add a real-time inspection layer to every train load-out with Roboflow Vision AI for TLO wagon spillage detection. Built for coal, iron ore, and bulk rail operations where an overfilled or off-center wagon spills along the corridor, material on sills and ledges blows off at speed, and spillage at the load-out fouls the track.

Load profile at the chute:

  • Check the load profile of every wagon as it leaves the chute, and flag loads that are off-center, peaked, or uneven, with a model trained on your own wagons and material.
  • Detect overfill and material spilling over the sides before the wagon clears the load-out.
  • Estimate load volume per wagon from the surface profile and compare it with your target.

Sills, doors, and the wagon exterior:

  • Detect coal or ore left on top sills, ledges, couplers, and bogies, so it is cleared before the train leaves.
  • Confirm bottom doors are closed on every wagon before it re-enters the main line.
  • Check for open hatches, damage, and shifted loads alongside railcar inspection.

Track, records, and the load-out:

  • Watch the track and ballast under and beside the load-out for spillage build-up, and alert the crew before it fouls the track.
  • Read wagon numbers and tie every finding to the wagon and train with railcar identification.
  • Trend spillage and profile issues by train, shift, and load-out setting so operators can tune chute timing and flow.

Bring intelligence to every load-out today. Stop overfill, off-center loads, and coal on sills from becoming spillage along the corridor.

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Frequently asked questions

What is TLO wagon spillage detection with Vision AI?

TLO wagon spillage detection with Vision AI uses cameras at the exit of the train load-out with a trained computer vision model (opens in a new tab) to check each wagon's load profile, overfill, material on sills and ledges, and door state, and to watch the track for spillage, with every finding tied to the wagon number. It pairs with ore car fill detection and railcar inspection across computer vision in mining.

Why does wagon spillage at the load-out matter?

Spillage and material build-up at load-outs foul and corrode the track, obscure visual and automated inspection, and can contribute to derailments. An even, centered load profile also helps keep dust down along the rail corridor, and coal terminals flag arriving trains with loading problems such as spillage so the load-out can respond.

Does it work with our load profiling equipment and door checks?

Yes. Load profiling equipment shapes the load as it is poured, and trip wires and lasers check doors. Cameras add a visual check of every finished wagon, with an image for every finding, and results from all of them can feed the same load-out controls and records.

Roboflow serves as the inspection engine, and your load-out and rail teams own the profile targets, alert limits, and response.

Can it integrate with our load-out controls and SCADA?

Yes. Roboflow writes per-wagon results and alerts to a PLC tag over OPC UA, Modbus TCP, or MQTT, so the load-out control system can adjust the chute or hold the train, and sends results and images over REST (opens in a new tab) or to a database for SCADA platforms such as Ignition and AVEVA, and for rail and environmental reporting.

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