AI recognition at object and material level
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Sorting of new materials using look-through sensors and artificial intelligence
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Deep learning recognizes objects more granularly than a human eye. Examples of objects include bottles, food, packaging, electrical appliances, silicone cartridges and much more.
Easy-NIR detects additional properties such as weight, size, shape, material type, damage and color. In this way, new use cases can be addressed and additional material flows can be established.
â– ALSO POSSIBLE AS A COMPLETE SORTING SYSTEM:
Optional expansion of the AI sensors with
pneumatic Sorting Module
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Expansion module for the AI recognition unit for a wide range of applications.
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Pneumatic air pressure nozzle strip for blowing out the desired objects.
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Flexible installation at the end of conveyor belts up to 4 m/s.
