• High-tech
  • Med-tech
  • Bio-tech
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Algae Detection

We achieved 95% recognition level accuracy!

Increased the high-resolution photo analysis time from 30 sec to 2 sec.


The challenge was to create a solution that would allow the analysis of microscopic photos of microorganisms to count them, categorize and describe subspecies.


The processing pipeline consists of two stages based on artificial neural networks. It detects microorganisms and then segments their bodies to determine their surface on the image. To achieve such a precise segmentation, it's necessary to overexpose the image on a molecular level with support from other fields such as physics, mathematics, technology and more.

Success Stories

Inspiring Client journeys with us

  • High-tech
  • Robotics
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AGV - Automated Guided Vehicles

Robust navigation combining LIDAR and other sensors to navigate through dynamically changing warehouses.

  • High-tech
  • Med-tech
  • Bio-tech
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Fish fraud detection

Unusual initiative to help avoid fraud in fish market around the world by using spectrometer and computer vision



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