Join MineSense at CIM CONNECT
MineSense is a proud Gold Sponsor of CIM CONNECT 2026, which takes place May 3-6, 2026.
We’re looking forward to being part of this premier event for the mining industry, connecting with peers, sharing insights, and exploring how innovation continues to transform mining operations.
Visit us at Booth #829!
MineSense Presents at CIM CONNECT 2026
Venture Capital and the Race to Deploy Innovation in the Mining Industry
Panelist: John Slaven, CEO
Monday, May 4
11:00 AM – 12:15 PM
Room 203
Mine Planning Enhanced by Integrating Sensor Data
Presenter: Hannah Lang
Monday, May 4
2:00 PM
Booth #829 (MineSense booth)
Overcoming the Black Box: Operational Stockpile Modelling
Presenter: Alexandre Janson, Mining Solutions Consultant
Monday, May 4
3:30 PM – 3:55 PM
Room 119
Data to Decisions: Structuring Machine Learning and Artificial Intelligence Projects for Mining
Presenter: Glenn McGuinness, MSc, BASc, Manager, Data Scientists
Monday, May 4
3:55 PM – 4:20 PM
Room 121
The Use of Blastholes for Calibration and Validation of Grade Models for Shovel-Mounted XRF Technology
Presenter: Stacey Lock, Mining Data Analyst
Tuesday, May 5
3:30 PM – 3:55 PM
Room 121
Realtime Prediction of Clay Mineral and Moisture Content Using a Novel Sensing System
Presenter: Andrew Welsh, Geoscience Data Analysist
Tuesday, May 5
3:55 PM – 4:20 PM
Room 121
Assessing Metallurgical Recoveries and Bulk Ore Sorting Potential in Historic Tailings
Presenter: Fouad Faraj, Mining Solutions Team Lead
Wednesday, May 6
2:50 PM – 3:15 PM
Room 119
Unlocking New Orebody Knowledge at the Face
Make informed decisions at the face with real-time data where you need it the most
MineSense is a pioneer in digital mining solutions that create new precision ore in waste and waste in ore routing decisions where profit and sustainability impact are greatest.
MINESENSE ADDS VALUE TO YOUR OREBODY
Our technology is a complete hardware and software system, enabled by proprietary algorithms,
to measure and report ore grade and ore characteristics in real-time
AT THE FACE
ORE FROM WASTE, WASTE FROM ORE
STOCKPILES
SMART ROUTING DECISIONS
NEW OREBODY KNOWLEDGE
MINE TO MILL RECONCILIATION
HOW SHOVELSENSE WORKS
Creating new ore body knowledge at the face
ShovelSense uses a set of robust high-speed x-ray fluorescence (XRF) sensors installed on mobile mining machinery.
ShovelSense scans the mineral content of the bucket to assess the grade of the material within the shovels dig cycle. The location is then digitally provided directly to the FMS software to direct the haul truck, with no operator intervention required.
ShovelSense reads dynamically as the bucket is filling. Our rapid data software processes the primary data using machine learning algorithms developed for that ore body. This information is combined – in complete real-time - to provide grade and material classification. The primary data is a robust spectrum that provides a wealth of information on the ore being measured. This includes all base metals of interest as well as deleterious elements.
Valuable data collected by ShovelSense can also be used to map orebodies at much higher resolution. A first-of-its-kind capability that provides a dramatic new level of visibility to mine operations.
SHOVELSENSE - Smart Shovel
MineSense partnered with Teck Resources for the first full-scale trial of the bucket-mounted ShovelSense technology at the Highland Valley Copper mine in British Columbia with commercialization commencing in 2019.
Following this successful deployment, ShovelSense has been deployed in a growing list of global mining operations, including some of the world's largest copper mines in Latin America.
Video by Teck Resources,
Why are we sending critical metals to the dump?
MineSense recently took the TED stage to share how they are helping the mining industry meet the world’s growing demand for copper by simply wasting less of what is already being mined. Through data and AI-powered solutions, we are able to make mining more efficient and more sustainable, and help drive the clean energy transition.