INDUSTRY X
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“3D LiDARbased volume measurement can enable accurate production and material level tracking to prevent stockouts and overstock situations ”
DR . FLORIAN PETIT CO-FOUNDER , BLICKFELD
One of the challenges facing industrial deployment of hyperspectral imaging is that converting the extremely data rich hyperspectral data cube into tangible insights can be tricky , requiring specialist data analysis / machine learning skills .
To address this , manufacturers are increasingly incorporating machine vision algorithms within the package they offer so that the system outputs coordinates of classified objects , rather than raw hyperspectral data cubes .
3D LiDAR remote sensing technology is another area with potentially beneficial prospects for the mining industry , according to Blickfeld .
It provides accurate , easily measurable volumes of bulk material and can help to offset significant inaccuracies and financial burdens that come as part of an inability to measure and track the volume of raw materials .
To date , traditional manual volume measurement methods have included simply eyeballing the materials , the use of a walking wheel instrument , as well as bucket or truckload counting .
Not only are each of these techniques inefficient , they are also costly , inaccurate and overall contribute to damaging a company ’ s ability to outperform others in their industry or field .
Volume measurement requires the entire surface of materials to be scanned , taking into account variations in surface level .
Other technologies like cameras or singlepoint lasers are unable to gather this level of three-dimensional detail at one time .
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