  Long-term availability of minerals and industrial materials is a necessary
condition for sustainable development as they are the constituents of any
manufacturing product. To enhance the efficiency of material management, we
define a computer-vision-enabled material measurement system and provide a
review of works relevant to its development with particular emphasis on the
foundations. A network of such systems for wide-area material stock monitoring
is also covered. Finally, challenges and future research directions are
discussed. As the first article bridging industrial ecology and advanced
computer vision, this review is intended to support both research communities
towards more sustainable manufacturing.
