Computer Vision

Automating the process of extracting information from images

COSMONiO® is developing a wide range of image-processing and computer-vision algorithms that operate on any image from the nano scale to galactic scale. Our unique approach ensures that any algorithm works robustly even under the most challenging conditions.


What we do?

We develop generic image-processing and computer-vision algorithms that work on any type of image. From detecting bacteria to counting stars we follow a universal approach to algorithm design. We believe that since all images are made of pixels, none of them should be treated differently.

Why are COSMONiO algorithms different?

COSMONiO’s vision algorithms are:

  • Based on a unique probabilistic analysis framework.
  • Noise-resistant. They work with any type of camera. Even webcams.
  • Highly robust and ultra fast.
  • Cross-platform (Processors: Intel, ARM processors, OS: Windows, Linux, MacOSX, Embedded RTOS)

What are the applications?

  • Inspection and quality control.
  • Pattern recognition.
  • Object detection and classification.
  • Object tracking.
  • Change detection.
  • Anomaly detection.


Examples

Microscope Autofocus


Problem

Low-cost digital microscopes lack autofocus functionality. Industrial products that use these microscopes are often slow since they need to capture every image in the microscope’s focal range before they identify the region of interest.

Solution

COSMONiO has developed an ultra-fast and accurate autofocus algorithm that works with any motorised microscope.


Bacteria detection


Problem

Is it possible to automatically identify a specific type of bacteria in a microscope image with multiple focal planes?

Solution

COSMONiO has developed an algorithm for bacteria detection and classification on multiple focal planes. Firstly, the algorithm merges multiple partially-focussed images into a single sharp image. Then it identifies and counts specific types of bacteria as illustrated in the image below.

My Image


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