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Anastasia Gkogkou

Anastasia is a marketing enthusiast with a passion for behavioral marketing, coming from Greece. She has a bachelor in Business Administration and a master in Marketing Management. She has worked for bigger companies, but she finds the environment of start-ups more exciting and challenging. Her area of expertise is brand management, and she has an extensive background in marketing strategy, digital marketing, advertising and consulting. She is not only a marketing professional but also a former professional alpine skiing athlete and member of Greece’s national team. On top of that, she loves photography and, nowadays, she is focusing on improving her language and music skills, by playing the guitar and learning Dutch.
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Fizyr Introduction blog

Apr 6, 2021 5:02:54 PM / by Anastasia Gkogkou

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World class algorithms

Fizyr applies deep learning to enable automated picking of unknown items for years. Our algorithms provide over 100 grasp poses each second, including classification to handle objects differently, but also perform quality controls and detect defects to prevent damaged items from being placed on a sorter.

Fizyr algorithms provide all relevant information, including:

  • Segmentation (incl. white on white flats or reflective bags)
  • Classifiers of type of parcel (incl. box, bag, envelope/flat, tube, cylinder, deformable, etc.)
  • Determining outliers or non-conveyables
    (i.e. damaged goods)
  • Best possible grasp poses in 6 DoF
  • Multiple ordered poses per object
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