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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

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