Mine Vision Systems
About
About Mine Vision Systems
Mine Vision Systems was founded in 2015 from technology developed at Carnegie Mellon University’s National Robotics Engineering Center with early support from Gold Fields. The Pittsburgh company commercialised underground computer vision and localization methods designed to work where GNSS and conventional survey workflows are constrained.
Its FaceCapture system brings dense, georeferenced 3D capture into routine production workflows rather than treating scanning as a specialist, delayed survey exercise. Mine teams use the resulting geometry and imagery for face mapping, short-interval control, design reconciliation and exposure reduction. MVS has progressed from consulting and development projects into a recurring product business used by major mine operators. The company is tracked as spatial-intelligence infrastructure: its systems inform mining decisions and automation, but it is not itself a haulage or excavation robot OEM.
Supply
Supply chain relationships
- Ouster
Inbound - Robot Sensing - Mine Vision Systems FaceCapture uses Ouster OS0 and OS1 lidar
Source
Team
- Mike Smocer - Chief Executive Officer - Current chief executive
- Rich Juchniewicz - Engineering Leader - Engineering leadership
- Chris Brown - Product Leader - Product leadership
- Bryan Nagy - Research Leader - Research leadership
Timeline
Events
- 2025-02-26 - Partnership - Mine Vision Systems and Datamine integrate underground mapping workflows
The integration combines Datamine mapping and sampling software with Mine Vision Systems' real-time mapping and perception systems. Datamine gained the ability to market the combined solution to its customer base, creating a joined underground data-capture and analysis workflow. The companies linked the workflow to faster geological modelling, mine planning and operational decisions and scheduled demonstrations for PDAC 2025.
Source