LIGHT! 003 | Photonics revolutionise the food industry
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PACKAGING<br />
AINIA<br />
01<br />
Monitoring of <strong>the</strong> plastic container sealing process using <strong>the</strong>rmography<br />
AINIA has patented an innovative container inspection system based on <strong>the</strong> analysis of <strong>the</strong> <strong>the</strong>rmal<br />
footprint after <strong>the</strong> sealing process, which is able to detect defects in <strong>the</strong> welding area caused by<br />
product residues, folds, gaps, etc. This technique is capable of analysing 100% of production and<br />
automatically adjusting <strong>the</strong> packaging process to <strong>the</strong> optimal conditions.<br />
02 Detection of foreign substances<br />
via hyperspectral imaging<br />
Food and beverages are intended for human consumption,<br />
so it is essential to guarantee <strong>the</strong>ir safety<br />
and <strong>the</strong> absence of any foreign body that may have<br />
been accidentally introduced into raw materials or<br />
during <strong>the</strong> manufacturing process. The detection of<br />
low-density foreign substances is a problem that is<br />
not solved using conventional technologies. By contrast,<br />
<strong>the</strong> new technologies used by AINIA, such as<br />
infrared, terahertz and chemical imaging, have been<br />
successfully applied here.<br />
03 Crop monitoring through <strong>the</strong> use of sensorised drones and<br />
data analysis using artificial intelligence techniques<br />
Precision agriculture is a new field in which photonic technologies enable crop yields. By analysing<br />
<strong>the</strong> interaction of light with plants, it is possible to learn if <strong>the</strong>y are suffering from water<br />
stress or if <strong>the</strong>re is any disease present requiring tailored phytosanitary treatment. AINIA has<br />
developed a platform based on a drone equipped with a hyperspectral camera with software<br />
that analyses <strong>the</strong> complete spectral footprint to identify <strong>the</strong> needs of each plant.<br />
58 <strong>LIGHT</strong>! by secpho