Technologies

We offer integrated tools for the acquisition, analysis, modelling and optimization of visitor flows in museums characterized by frequent congestion and/or complex geometries. Our intervention is divided into 4 phases:

1) Data acquisition related to the paths followed by visitors in the museum, number of visitors in the rooms, time of permanence, ... The acquisition is performed via a specific IoT system, smartphone app or manual counting.

The object of the technology is the development of a transferable methodology from the laboratory scale to the pilot scale to be validated in the industrial setting for the treatment of basic waste of natural polymers of agro-food or manufacturing industry.

Portable robotic device for bilateral neuromotor rehabilitation. An appropriate mechanical structure and a series of interchangeable accessories suitably designed allow the execution of various motor gestures of the upper limbs, involving different articulations and muscles. The possibility of being used with both limbs contributes to the recovery of motor coordination and facilitates the mechanism of brain plasticity. Some rotary axes the device is equipped with are motorized and sensorized.

"Transitional Wearable Companions'' (TWC) are interactive, multisensory, animal-shaped soft toys, developed as a support tool for early intervention in neurodevelopmental disorders (NDD), with particular reference to Autism Spectrum Disorders (ASD). Thanks to internal electronics, TWC can emit coloured lights, nice sounds and mild vibrations when touched on the paws. Such stimulations are usually very reinforcing to children and attract their attention.

The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.

The development of new materials with near-infrared emission (NIR, 700 – 1000 nm) represent an important target in the technological progress of innovative active components for OLED devices (including flexible ones), surveillance systems, autonomous driving, night vision sensors, fiber optic telecommunications and medical systems. In all these fields it still lacks a commercial NIR-OLED technology.

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.

Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (10²-10^-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and  its design and optimization to be oriented.

Optical backplane for interconnection between boards of a high-capacity ICT apparatus, data-center, server and the related automatic assembly method. The solution is based on optical connections between boards with an optimized layout on a support with mechanical constraints that involve controlled deformations of commercial optical fibers with standardized connectors. The entire interconnection circuit is divided into N independent circuits, each of which makes the connections between all the boards (Full-Mesh).

The proposed technology is based on the concept of Power-Over-Fibre (PoF), which involves the transmission of data and power over an optical fiber. This technology is suitable for applications where traditional copper cabling is impractical or undesirable. This is the case with pantographs, where there is a large potential difference between the catenary and the earth, and therefore any electrical contact must be avoided for safety reasons. Furthermore, pantographs operate in an environment with very high electromagnetic interference (EMI).

The metasurface optomechanical modulator is a device designed to modulate the amplitude, phase and polarization of a beam of electromagnetic radiation, independently, or simultaneously, according to prescribed paths in the parameter space (for example, as regards polarization, paths on the Poincaré sphere). The concept of our device can be applied to the entire spectrum of electromagnetic waves: from radio frequency, to microwaves (GHz), to millimeter waves (THz), to far and near infrared radiation, and to visible light.

The technology concerns planar optical antennas composed of thin metal films and dielectric materials for the efficient direction of the light emitted by light sources, such as fluorescent molecules and bio-markers. They consist of a reflector layer, adjacent to the substrate, and a director, semi-reflective, between which the emitter is positioned, integrated into a homogeneous dielectric layer.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.

The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.