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 - 2 of 2

# Record card
61
Description

The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.

Thematic areas
Tourism, social sciences and cultural heritage / Archeometry
Energy and environmental sustainability / Safety and security
ICT & Electronics / Sensor/multi-sensor technology, instrumentation
Materials / Processes of production & treatment of materials
Health & Biotech / Smart Devices for Health and Wellness
Agrifood / Food quality & safety
Energy and environmental sustainability / Energy production, transmission and conversion
Energy and environmental sustainability / Cleaner use of fossil fuels
Tourism, social sciences and cultural heritage / Safety and security
ICT & Electronics / Nanotechnologies related to electronics and microelectronics
Energy and environmental sustainability / Environmental engineering/technologies
Additive and advanced industrial manufacturing / Process control and logistic
Energy and environmental sustainability / Sensory
ICT & Electronics / Electronics and microelectronics
Chemicals & Physics / Separation technologies
# Record card
254
Description

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.

Thematic areas
Chemicals & Physics
Chemicals & Physics / Imaging & image processing
Agrifood
Agrifood / Food quality & safety
ICT & Electronics
ICT & Electronics / Internet of Things
Automotive transport and logistics
ICT & Electronics / Artificial Intelligence
Automotive transport and logistics / Logistics
Additive and advanced industrial manufacturing
Additive and advanced industrial manufacturing / Process control and logistic
Additive and advanced industrial manufacturing / Packaging
Measurement tools and Standards