Technologies

The proposed technology consists of a portable device for monitoring the freshness of fish, based on its smell. The device is based on a gas sensor and pattern recognition software to correlate the sensor signal to the freshness of the food. The technology is designed for its integration into domestic or industrial refrigerators.

Digital Eye is an innovative, rapid and high-precision intelligent computer vision system for the non-destructive and contactless evaluation of quality and shelf-life of whole or fresh-cut fruit and vegetables. It integrates advanced vision and artificial intelligence technologies to estimate parameters useful to evaluate the quality of fruit and vegetables, during both the harvesting phase and the cold chain.

We propose a portable chemical analysis system capable of identifying chemical substances at trace concentrations (sub-ppm), even in case of a complex matrix of interfering species.

The invention is about the development of a device and its methodology for measuring the active and reactive sound intensity from the impedance computation. The active intensity is calculated directly in the frequency domain multiplying the complex impedance and power spectrum of the air particle velocity. A second line of post-processing is applied to obtain the overall complex sound intensity.

This invention comprises an interrogation and readout differential method for chemical sensors based on Surface Plasmon Resonances (SPR). The integration of the SPR sensing unit (chip or other), as intermediate reflecting element of a Fabry-Perot (FP) optical resonator, is the starting point for the application of this method.

The proposed technology offers a novel and versatile method for detecting cracks in insulating materials of electrically polarized metal devices, i.e. dielectric coatings on metals, especially in low-pressure gas environments. It uses an ionized plasma that interacts uniformly with the insulating surface, allowing to detect defects invisible to the naked eye. The detection occurs in a single test without changing the environmental conditions and without risking harmful electrical discharges.

Quartz tuning forks are employed in scanning atomic force microscopy (AFM), as well as in some derived techniques, as high sensitivity detectors of interactions, of both conservative and dissipative kind, between the AFM nanometric probe and the investigated surface. However, the contributions of the two kinds of interaction result as convoluted in the sensor response, preventing fully quantitative measurements of the quantities of interest.

The technology refers to an innovative plasma (ionized gas) source operating at atmospheric pressure and low electric power levels. A cold plasma is produced, characterized by an ion temperature significantly lower than the electron temperature. Partial ionization of a Helium flux is induced by a time-varying electric field in between two parallel grids, both perpendicular to the flux itself.

AIS aim is a robotized inclinometer measurement in standard inclinometer boreholes. The deep measurements have multiple applications, including: evaluating the rate of deep-seated ground deformation in landslide areas, evaluating the volume of deep-seated landslides and assessing landslide hazards. The AIS is composed by an electronic control manager, an inclinometer probe and an electric motor equipped with a high precision encoder for handling and continuous control of the probe in the borehole.

The invention concerns an apparatus for measuring the three-dimensional (3-D) sea surface elevation from moving and floating platforms. In particular, the invention consists of two or more synchronized digital video-cameras that frame, from distinct and remote points of view, a common portion of the sea surface. A triangulation process makes it possible to obtain a three-dimensional reconstruction of the sea surface from these images. The invention is particularly suitable for measuring sea waves.

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.

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.