Safety is of paramount concern in the mining industry. Bolts are used to stabilise mineshafts and excavations by anchoring the unstable exposed rock to the deeper rock interior. These bolts are typically placed in prescribed patterns, depending on the type of rock and nature of the excavation.
Naturally, it is vital for miners to have an up-to-date, accurate measure of the placement of these bolts and their state of wear-and-tear. However, it is potentially dangerous for miners to perform this inspection in person, as the safety of the conditions they might be exposed to are unknown. In collaboration with mining maps provider Mining Vision Systems, we developed novel computer vision algorithms to identify rock bolts using LIDAR and stereoscopic images of a mine. This not only improves safety outcomes for miners by minimising their exposure to potentially unsafe conditions, but also saves time by automating the process of verifying that the bolt placement and condition satisfies safety regulations.