AI Computer Vision

With Computer Vision we provide rapid and accurate assessment of imagery to support daily operations in way that boosts efficiency through the release of resources and its effectiveness by providing critical information in near real time, all in a cost effective manner.

Methodologically we go through three sequential stages:

  1. Acquiring images - or the process of rendering our world in binary data composed of zeroes and ones.
  2. Processing images - the use of algorithms and mathematical techniques in order to deduce information about the image's basic geometric components (edges, features, segments etc.). Some of these algorithms include Edge detection, Segmentation, Classification, Feature detection and matching.
  3. Analyzing and understanding images - the last step of Computer Vision that leads to decision making. In this stage, high-level algorithms such as 3D scene mapping, object recognition and object tracking are used together with the image data obtained in the first stage and processed in the second one.

Computer Vision and Machine Learning are emerging tools that are largely available inviting organizations to step up in how we deal with operations – image processing opens a door to a higher level of accessible information hardly envisioned before.

Of all the AI branches, Computer Vision is easiest to grasp and integrate by businesses so we highly recommend this entry point into prescriptive intelligence.