We can expedite the delivery of your outcomes using IP and accelerators.
Optimise Throughput and Smart Preventative Maintenance
Artificial Intelligence, ML, Machine Vision, and Data Science-based mining circuit optimisation, using real-world physics simulators, deep learning (ML), and gaming engines to understand and monitor mining circuit inputs, settings, and materials to optimise throughput. Sensors can also be deployed to monitor asset health and alert operators for conditions that typically preceded downtime events in the past. Similar projects generate ROIs greater than 900% or $90m annually in some cases.
Location Awareness
IOT-based Location Awareness and Analytics to understand team locations, asset utilisation, and interactions. This results in the optimisation of plant, equipment, and people (including cost reductions, time-saving by minimising proximity for next likely use, scheduled cleaning, and maintenance).
Asset Safety
Predict catastrophic equipment failure that could lead to injury or fatality by understanding causes of failure, the likelihood of failure, and predict failure events. Identify defective equipment using machine vision and IoT and determine safe asset use via statistical analysis and optimise asset safety. Use Critical Control Monitoring to identify asset and process failures in advance.
Risk Culture, Safety Culture, Engagement & Psychological Wellbeing Surveys
Various surveys across mining to identify areas of risk or concern based on questions around Risk Culture, Safety Culture/Compliance, Engagement and Phycological Health. Results facilitate drilling to problem departments, locations and sited to focus training and remediation activates and maximise training/remediation outcomes.
Automated Site Assessments
Machine Vision to generate and deliver automated building and site progress data and safety insights. The project involves using robots, drones, and other autonomous equipment to monitor sites to minimise human movement/risk and maximise reporting accuracy
