Rapid Georeferenced Geological Face Mapping for Underground Mining
Production geologists in underground hard rock mining environments have typically used paper and colored pencils, cameras and tape measures to map and describe the geotechnical details of a working mine face for augmentation of a 3D ore body model. In most cases, this data is ingested and used to update the model several days after collection and is only very roughly accurate. These approaches and limitations result in extra personnel exposure to rockfall at the face, lost productivity, excess wasteful material processing with resultant environmental impact, and added cost in both time and resources. We present a live demo of FaceCapture - an integrated Lidar-SLAM and Camera based system to rapidly map underground mine spaces, produce high resolution textured meshes of geological features, and georeference all collected data into a mine’s native coordinate system in a matter of minutes. Now in-use globally, this system increases geologist safety by minimizing their time at the unprotected face, and overall productivity by allowing near-realtime update of the ore body model and subsequent drill and blast plans.
Date and Time
Location
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Registration
- Date: 05 May 2025
- Time: 10:30 PM UTC to 12:30 AM UTC
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- Co-sponsored by Engineering in Medicine and Biology Society (EMBS) Pittsburgh Chapter
Speakers
Bryan of Mine Vision Systems
Rapid Georeferenced Geological Face Mapping for Underground Mining
Production geologists in underground hard rock mining environments have typically used paper and colored pencils, cameras and tape measures to map and describe the geotechnical details of a working mine face for augmentation of a 3D ore body model. In most cases, this data is ingested and used to update the model several days after collection and is only very roughly accurate. These approaches and limitations result in extra personnel exposure to rockfall at the face, lost productivity, excess wasteful material processing with resultant environmental impact, and added cost in both time and resources. We present a live demo of FaceCapture - an integrated Lidar-SLAM and Camera based system to rapidly map underground mine spaces, produce high resolution textured meshes of geological features, and georeference all collected data into a mine’s native coordinate system in a matter of minutes. Now in-use globally, this system increases geologist safety by minimizing their time at the unprotected face, and overall productivity by allowing near-realtime update of the ore body model and subsequent drill and blast plans.
Biography:
Bryan Nagy is the CTO for Mine Vision Systems, where he is responsible for Technology, Research and Development, as well as leading NRE robotics projects for clients. He received his B.S. in Computer Science and M.S. in Robotics from Carnegie Mellon University. Before MVS he led a team at Uber’s self-driving group, which was responsible for Route Planning, Navigation and Vehicle Executive operations. And before that, he was a Commercialization Specialist at CMU’s National Robotics Engineering Center, where he built robotic systems to solve challenging real-world problems in the field at large scale. He also likes to dabble in the collaboration between engineering and export control.
Rich of Mine Vision Systems
System Demonstration
Biography:
Rich Juchniewicz is the VP of Engineering for Mine Vision Systems, where he is responsible for leading the engineering team and scaling of FaceCapture line. He received his B.S. and M.S. in Mechanical Engineering at Carnegie Mellon University. Prior to MVS he was VP of Product Operations at 4moms, developing high-tech juvenile products for the consumer product market that provided parents with effective child care solutions. Leading the Engineering, Quality, and Asia Operations teams through multiple new product developments and new category launches for nearly 13 years. He enjoys the challenge taking initial proof of concepts and turning them into products that can be brought to market at scale
Agenda
06:30 PM Gather for social time and a light meal
07:00 PM Presentation and demonstration
08:30 PM Adjourn