Hot Bearing Detection AI

Bring real-time intelligence to every bearing on the conveyor and the train with Roboflow Vision AI for hot bearing detection. Built for mines, ports, bulk terminals, and railroads where a single seized idler can burn through a belt or start a fire, and where manual walks with a handheld thermal gun cover only part of a gallery once a week.

Conveyor idlers and pulleys:

• Detect idlers, pulleys, and bearing housings in thermal and visual frames, and read each bearing's temperature from the thermal image.
• Flag an idler running hotter than its neighbors or its own baseline, which catches a failing bearing before absolute limits are reached.
• Spot seized rollers that have stopped turning and are wearing a flat spot, a common cause of belt damage and fires.

Rail wheel bearings and rolling stock:

• Measure bearing and wheel temperatures on passing railcars from wayside thermal cameras and tie each reading to the car number read by OCR.
• Flag a bearing that is hot relative to the rest of the train, and trend it across passes to separate a real problem from a sunny side.
• Run alongside existing wayside hot box detectors as a supplementary layer with images for each alert.

Locate, trend, and act:

• Tie each hot bearing to a conveyor, gallery, and idler position, or a car and axle, so the work order points to the exact part.
• Trend temperature over weeks per bearing so maintenance can plan changes during scheduled downtime.
• Send alerts and images to the maintenance system and control room, with a stop or slow signal to the PLC when a temperature crosses the trip limit.

Bring intelligence to every bearing today. Stop hot bearings from becoming belt fires, unplanned stops, and derailments.

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Frequently asked questions

What is hot bearing detection with Vision AI?

Hot bearing detection with Vision AI uses thermal and visual cameras and a trained computer vision model (opens in a new tab) to find bearings in the image, read their temperature, compare it to neighbors and baseline, and locate the exact idler, pulley, or wheel bearing that is overheating. It covers conveyor galleries, drive stations, and railcars, and it extends predictive maintenance, conveyor belt monitoring, and railcar inspection.

Why use Vision AI with thermal cameras instead of a thermal camera alone?

A thermal camera shows heat, but on its own it does not know which hot spot is a bearing, which is sunlight on a steel frame, and which idler that bearing belongs to. A model trained on your own thermal and visual footage finds the bearings, ignores reflections and background heat, and ties each reading to an asset ID.

Does hot bearing detection support ISO 18434-1, MSHA, and FRA requirements?

Hot bearing detection supports condition monitoring practice in ISO 18434-1 (condition monitoring and diagnostics of machines using thermography) and ISO 17359 (general guidelines for condition monitoring), conveyor safety programs under MSHA 30 CFR Part 56 and 57 (US metal and nonmetal mine safety standards), and freight car inspections under FRA 49 CFR Part 215 (railroad freight car safety standards, including roller bearing conditions).

Roboflow serves as the detection engine, and your reliability, maintenance, and rail mechanical teams own the temperature limits, the response to an alert, and the decision to stop equipment.

Can it integrate with our maintenance system, SCADA, and existing detectors?

Yes. Roboflow sends temperature readings, alerts, and images over MQTT, OPC UA, or REST (opens in a new tab), or writes them to a database, so they feed SCADA and historians such as Ignition and AVEVA PI, and create work orders in SAP PM, IBM Maximo, or Fiix. For rail, alerts can be matched to car numbers and combined with wayside detector data in the railroad's equipment health system.

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