Carnegie Robotics and Mine Visions to increase mining sector productivity

10 August 2016 (Last Updated August 10th, 2016 18:30)

Carnegie Robotics (CRL) and Mine Visions Systems (MVS) are set to join forces to provide new solutions to improve safety and increase the productivity of the mining sector.

Carnegie Robotics (CRL) and Mine Visions Systems (MVS) are set to join forces to provide new solutions to improve safety and increase the productivity of the mining sector.

As part of the agreement, which will also advance the long-term sustainability of the sector, MVS’s modeling software and CRL’s line of MultiSense cameras would be combined to deliver computer vision-based mapping tool for mining operations.

The MultiSense solution will provide productive equipment through CRL’s high-data-rate 3D range sensors and support the industry vision.

"Combining the MultiSense 3D sensor data with the MVS persistent mapping software provides mine operators with close to real-time information that helps drive faster and more efficient operational decision making."

It produces 3D models with high-resolution 2D images of the mine within hours and provides near-real-time information to operators for mine management.

Further, the solution supports the need for fleet tracking throughout the mining operation and allows for increased equipment performance and efficiency.

Carnegie Robotics CEO Steve DiAntonio said: “We designed the MultiSense camera line to provide reliable data, day in and day out, for harsh mining environments.

“Combining the MultiSense 3D sensor data with the MVS persistent mapping software provides mine operators with close to real-time information that helps drive faster and more efficient operational decision making.”

The MVS-MultiSense tool also gives accurate mapping and modeling of the mining environment and delivers better geotechnical insight.

Mine Vision Systems CEO Paul Lucey said: “MVS is focused on bringing new vision related technology and software algorithms to the resources mining industry.

“Our groundbreaking blend of computer vision and machine learning software brings a higher level of automation to equipment but also unrivaled interoperability and data conversion for use in mining software.”