Artificial intelligence, machine learning, and deep learning are now being used in the mining industry.
Machine Learning and Deep Learning are a growing and diverse fields of Artificial Intelligence (AI) which studies algorithms that are capable of automatically learning from data and making predictions based on data. Machine Learning and Deep Learning are two of the most exciting technological areas of AI today. Each week there are new advancements, new technologies, new applications, and new opportunities. It’s inspiring, but also overwhelming. That’s why I created this guide to help you keep pace with all these exciting developments.
Whether you’re currently employed in the mining industry, or just pursuing an interest in the subject, or working with us at Produvia, there will always be something here to inspire you!
Here are eight artificial intelligence ideas for the mining industry:
- Autonomous Personnel Tracking
Imagine a computer vision technology that performs mine-site personnel tracking using video cameras. Imagine a system that relies on cameras which capture video and pictures, reducing the need to hire supervisors to oversee mining operations. Imagine improving project performance of mining workers by performing workforce productivity analysis and safety monitoring. Imagine software that determines whether the activity of the worker is classified as safe or productive. Imagine automatically monitoring the trajectories of people for safety, security, and process analysis. - Threat Detection
Imagine system that determines outside threat, including detecting unusual vehicle activity, personnel activity, or guns. Imagine technology that relies on video cameras to capture threats in real-time and provide notifications to dispatch or local police force. - Automatic Compound Classification
Imagine computer vision technology that automatically classifies images of rock samples and core drilling data to determine the compounds of minerals discovered. Imagine technology that saves people time in manually reviewing and labelling image data from multiple samples. Imagine software that labels incoming samples using multi-class labels, indicating the types of compounds (arsenic, etc.) and probability of confidence. - Intelligent Data Platform
Imagine a platform that collects and funnels data sources into one data warehouse or data lake. Imagine software that automatically aggregates various data inputs of excel, mysql, pdfs, docs, text files, etc. Imagine technology that saves hours or days each week of data processing time. Imagine intelligent platform that automates data pipeline processes and performs data cleaning to store data in a more human-friendly format. Imagine technology that improves data quality and transparency to optimize operations. - Underground Automation.
Imagine technology that tracks people and schedules tasks. Imagine a system that increases production through monitoring operator and equipment location, and tracks real time production. Imagine software that improves safety and increase utilization of mining equipment. - Digital Maintenance Work Management.
Imagine software that increases availability, reduces parts spend, and reduces unplanned work and work overruns. - Processing Automation.
Imagine a system that automates mining operations to increase throughput and recovery, and improves quality of decisions in processing to maximize production. - Predictive Maintenance.
Imagine technology that can predicts mining exhaust failures one week in advance.
If you have any questions about artificial intelligence or the future of mining, feel free to message us at www.produvia.com
Eight Artificial Intelligence (AI) Ideas for the Mining Industry was originally published in Produvia Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.