Carnegie Robotics (CRL) has partnered with Mine Visions Systems (MVS) to provide new solutions to help the mining sector to increase its productivity with improved safety.
As part of the deal, MVS’s modeling software will be integrated with CRL’s line of MultiSense cameras to deliver computer vision-based mapping tool for mining operations.
The MultiSense cameras are designed to provide reliable data for harsh mining environments.
The agreement also aims to advance the long-term sustainability of the sector.
Carnegie Robotics CEO Steve DiAntonio said: “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.”
Using MVS' geological and geotechnical monitoring software, the MVS-MultiSense solution will provide equipment through CRL’s high-data-rate 3D range sensors and support the industry vision.
In addition to producing 3D models with high- resolution 2D images of the mine within hours, the MVS-MultiSense supports the need for fleet tracking throughout the mining operation. It also allows for increased equipment performance and efficiency.
Carnegie Robotics said that the tool also gives accurate mapping and modeling of the mining environment and delivers better geotechnical insight.
Mine Vision Systems CEO Paul Lucey said: “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.”
“When looking for a match for our software, it was hard to go past the CRL MultiSense family of sensors. During the beta testing, our clients put these sensors in conditions where most other sensors would fail, and the MultiSense just kept on going.”
Both the MVS software and the CRL hardware were developed at Carnegie Mellon University’s Robotics Institute in order to commercialize for mining operations.