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    RETTAR 3D spatial sensing: stockyard design, safety and control notes for mines

    April 30, 2026|

    Reviewed by Joe Ashwell

    RETTAR 3D spatial sensing: stockyard design, safety and control notes for mines

    First reported on International Mining – News

    30 Second Briefing

    Beijing-based RETTAR is deploying 3D spatial sensing systems in mines and aggregate stockyards to automate volumetric measurement and material tracking, replacing manual surveys hampered by low visibility and data lag. Using fixed LiDAR scanners and mobile platforms to generate high-density point clouds, the technology delivers near real-time stockpile models and reconciled tonnage estimates across crushers, conveyors and storage pads. For mine planners and plant operators, this enables tighter inventory control, faster reconciliation cycles and reduced on-foot exposure around active stockpiles and loading areas.

    Technical Brief

    • Similar 3D sensing deployments in other large stockyards could support compliance with site-specific isolation, traffic and working-at-height procedures.

    Our Take

    RETTAR’s 3D spatial sensing push sits within a large pool of 2335 tag-matched ‘Projects / Product / Safety’ pieces in our coverage, but relatively few of those focus on stockyard environments, suggesting this could fill a niche in surface material-handling risk management rather than just underground collision avoidance.

    International Mining’s role here mirrors its presence in coverage of Boliden’s ‘green fleets’, indicating that RETTAR’s technology is being positioned alongside other enabling systems for lower-emission, highly automated operations rather than as a standalone safety bolt-on.

    With top mining CEOs convening at the World Mining Congress 2026 under International Mining’s media umbrella, RETTAR’s mine and stockyard sensing offering is likely to be showcased to decision-makers who are already evaluating integrated digital safety platforms across global portfolios.

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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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