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    Kal Tire–Decoda haul road hazard tech: design and maintenance insights for mines

    March 24, 2026|

    Reviewed by Joe Ashwell

    Kal Tire–Decoda haul road hazard tech: design and maintenance insights for mines

    First reported on Australian Mining

    30 Second Briefing

    Kal Tire’s Mining Tire Group has partnered with Australian mining technology firm Decoda to deploy a real-time haul road hazard detection system for large open-pit haul trucks. Using on-board sensors and analytics integrated with fleet management platforms, the system flags issues such as potholes, spillage, standing water and excessive grade or crossfall as trucks travel, rather than relying solely on periodic road inspections. The approach targets reduced tyre damage and unplanned downtime, and gives mine planners continuous data to prioritise road maintenance and adjust haul profiles.

    Technical Brief

    • Wider adoption of such truck-based sensing could reduce reliance on manual road inspections, especially on night shift and in poor visibility.

    Our Take

    Kal Tire’s Mining Tire Group appears only a handful of times in our 1108 Mining stories, and this alliance with Decoda stands out as one of the few pieces where a tyre services player is moving directly into on-board digital hazard detection rather than analytics or service management alone.

    Because KalPRO HaulSight is being rolled out in Australia, where haul road design and fatigue-related incidents are frequent themes in our safety-tagged coverage, mines trialling the system are likely to face relatively mature regulatory scrutiny and data-reporting expectations compared with many other regions.

    The link to Kal Tire’s existing TOMS (Tire & Operations Management System) in the related coverage suggests that, for operators, the strategic play is not just collision avoidance but integrating haul road condition data with tyre wear and maintenance planning to cut both downtime and tyre-related operating costs.

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    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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