This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
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WSense provides customizable and modular real-time, bi-directional, in-situ monitoring tools capable of sending real-time alarms. It makes possible to monitor the entire water column, on areas that can scale from a few tens of square meters to hundreds or thousands of square meters depending on the number of nodes deployed as needed. The monitoring system is implemented using submarine wireless communication nodes (W-Nodes) integrated with probes to monitor various parameters.