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).

Displaying results 1 - 3 of 3

# Record card
183
Description

This technology concerns the development of new eco-sustainable UV physical/mineral filters with the aim of offering important innovations per the cosmetic sector. This, encouraged by European initiatives in the Green-Deal context, is constantly looking for new components with improved protection of the human health and the environment.

Thematic areas
Materials
Materials / Ceramic materials
Materials / Composite and hybrid materials
Chemicals & Physics
Chemicals & Physics / Subtainable substances and green chemistry
Energy and environmental sustainability
Tourism, social sciences and cultural heritage / Safety and security
Health & Biotech
Health & Biotech / Care, Hygiene, Cosmetics
# Record card
59
Description

The prototype uses soil moisture sensors which, through a measurement of dielectric permittivity, estimate the soil moisture based on which irrigation is started through relay-controlled solenoid valve. The system was developed using Open Source technologies. Specifically, for the hardware components, a small sized board computer Raspberry PI 3B + was used together with a 4G LTE Wi-Fi router and a Modbus rs485 / USB converter.

Thematic areas
Agrifood / Agriculture
Energy and environmental sustainability / Environmental engineering/technologies
ICT & Electronics / Internet of Things
# Record card
99
Description

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.

Thematic areas
ICT & Electronics / Sensor/multi-sensor technology, instrumentation
ICT & Electronics / Optics & Acoustic
ICT & Electronics / Internet of Things
ICT & Electronics / Artificial Intelligence
ICT & Electronics / Optoacustic sensors, Optoelectronic devices
ICT & Electronics / Information processing, information system, workflow management
Aerospace and Earth Science / Oceanography
Agrifood / Marine resources
Tourism, social sciences and cultural heritage / Technologies for preservation of cultural heritage
Tourism, social sciences and cultural heritage / Education & learning
Tourism, social sciences and cultural heritage / Entertainment
Tourism, social sciences and cultural heritage / Socio-economic models
Tourism, social sciences and cultural heritage / Multimedia technologies