Case Study: BeltVision - Using Computer Vision and ML
Date & Time
Wednesday, June 7, 2023, 11:15 AM - 11:45 AM
Justin Stade

•    Exploring the technology that can detect emerging/potential failures within the splices that hold our belts together 
•    Understanding how this can be done in real time at full operational speeds
•    With more than 500km of underground beltways across our line network – Assessing how these belts are the arteries of our underground operations 
•    Eliminating down time through this predictive maintenance technology is critical to increasing production and efficiency while reducing safety-related work exposures