Sumitomo Heavy Industries and NEC are jointly developing an AI and computer vision system that uses camera feeds from hydraulic excavators and SHI’s SHICuTe ICT/IoT platform data to automatically detect “risk scenes” and generate structured near-miss reports. NEC’s 2023 video recognition and generative AI technology, previously used for road traffic accident analysis, will fuse time- and location-stamped video with machine operating logs as multimodal data to characterise hazardous and prohibited behaviours. Following a successful proof of concept in September 2025, full development starts April 2026, with global deployment targeted for broader construction-site safety management.

Datamine has acquired Mineware Africa and Mineware Consulting to expand its mine management software suite and in‑house advisory capability across exploration, resource modelling, mine planning and operations control. The deal adds Mineware’s production accounting, dispatch and short-interval control tools, along with its implementation consultants, into Datamine’s existing end-to-end digital mining platform. For engineers, the move signals tighter integration between planning, fleet management and production data, potentially simplifying brownfield system upgrades and multi-site standardisation.

Rapid drawdown in earth and rockfill dams is modelled in Rocscience’s Slide2 by separating gradual, fully transient seepage analyses from a dedicated Rapid Drawdown option that embeds hydrogeologic assumptions directly into limit equilibrium slope stability. Engineers can define initial and final water tables, including partial drawdown lines, and apply four established methods – Effective Stress (B-bar), Duncan–Wright–Wong (1990), USACE (1970) two-stage and Lowe–Karafiath (1960) – to estimate post-drawdown pore pressures and factors of safety. The B-bar approach allows material-specific drainage behaviour to be varied, supporting sensitivity studies where low-permeability cores retain elevated pore pressures after reservoir lowering.