Visual QA for Heavy Machinery: Detect Wear, Leaks, and Faults Before They Escalate

In mining, construction, and industrial operations, the reliability of heavy machinery is non-negotiable. A single undetected issue - a frayed cable, a small hydraulic leak, or a crack in a load-bearing weld can trigger days of unplanned downtime, safety risks, and expensive repairs. Yet under time pressure, manual inspections often miss early warning signs.

Tiliter’s Vision AI Agents bring consistency, scale, and speed to machinery inspections. By analysing photos taken via smartphone, drone, or fixed cameras, our models can identify visual anomalies that point to wear, corrosion, or mechanical damage, even when those signs are subtle or emerging.

With Vision AI Agents, you can:

• Detect early hydraulic leaks by identifying surface stains or residue
• Catch rope or cable wear before it compromises lifting equipment
• Flag visual defects like cracks, rust patches, or impact dents
• Track degradation trends by comparing images over time
• Generate consistent QA records to support safety audits and compliance

This visual inspection capability helps field teams prioritise real issues, rather than wasting time on routine checks. It also ensures that inspections are reliable - not dependent on who’s on shift or how much time they have.

A company operating 120 machines across multiple remote sites could use Tiliter’s Vision AI Agents to support weekly inspections - saving hundreds of technician hours each month and flagging issues like leaks, frayed cables, or worn components before they lead to failures. By turning routine images into structured QA data, Vision AI enables faster decisions, more consistent reporting, and reduced unplanned downtime without overhauling existing workflows.

Tiliter’s Vision AI Agents are designed to work with your current tools, from photo upload portals to fleet management systems, so you can add intelligent QA without major IT overhead or machine learning expertise.

In an industry where downtime costs thousands per hour, catching the small things early makes all the difference.