Spatial Data Mining
The most remarkable aspects of Sight Power data mining technology are the set of effective techniques and algorithms for spatial data effective indexing and compression, spatial object recognition and spatial scene reconstruction. The developed algorithms transform visual data into the CAD-like models (set of 3D-objects). These models allow dealing with each object as a unique geometric entity. The models can be used for example, to measure distance and angles between objects, or for the calculation of object volume.
The methods used by Sight Power for aforementioned algorithms are very versatile, but in most cases they are based on a combination of fuzzy logic and geometrical and statistical analysis.
The input information used for object recognition is most often either scanned point data (“point cloud”), or images, or a combination of both.
The mine shafts are the lifeline to underground mines, and miners depend on safe uninterrupted and efficient flow of material. The shafts and hoisting systems provide access to network of openings used to recover the underground resource, carry out vertical transportation of miners and materials required for the mining operations, and serve as an escape way in case of emergency. In addition the shafts assist in mine ventilation and supply of engineering services underground (power, compressed air, water, cooling conduit etc.).