Kal Tire’s smarter tyre systems: haul road design and risk insights for mine engineers
Reviewed by Tom Sullivan

First reported on Australian Mining
30 Second Briefing
Kal Tire is deploying its TireSight autonomous haulage system, combining AI, on-vehicle sensors and real-time analytics to predict tyre failures and optimise haul road conditions across large ultra-class truck fleets. Continuous monitoring of temperature, pressure and load data enables early detection of sidewall damage, under‑inflation and heat build-up, allowing operators to adjust speed limits, watering and grading on specific road segments. The approach targets fewer catastrophic tyre events, reduced unscheduled downtime and lower operating cost per tonne, while supporting higher utilisation of autonomous haul trucks.
Technical Brief
- Similar sensor-analytics architectures could be extended to monitor wheel rims, suspensions and chassis fatigue on haul fleets.
Our Take
Kal Tire’s alliance with Decoda on KalPRO HaulSight, highlighted in our January 2026 coverage, signals that its ‘smarter tyre systems’ in Australia are increasingly being tied into LiDAR- and camera-based haul road sensing rather than just traditional TPMS data.
Across the 2447 tag-matched Product/Safety/Projects pieces in our database, very few focus on tyres as the primary control for haul road risk, suggesting Kal Tire is carving out a relatively specialised safety niche in Australian open-pit operations.
The Australian focus in this and other Kal Tire items implies that mines there are acting as an early proving ground for integrated tyre–haul road management systems, which could later be exported to other high-volume truck fleets once performance and safety gains are demonstrated.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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