At It-Jim, we’re all about developing and using cutting-edge AI technologies to help businesses innovate and succeed. Whether it’s working with automotive, healthcare, sports, or entertainment companies, we specialize in providing AI consulting, R&D, and custom software development services. With a focus on 2D/3D computer vision, AI-powered mobile development, and natural language processing, we help our clients stay ahead of the curve and stand out in their respective industries.
We are excited to take part in the Kharkiv IT Cluster activity for students! Our CEO, Ievgen Gorovyi, will deliver a talk on “AI progress, or who you will become when you grow up” on April 8, 2021. The event is free of charge, but preliminary registration is required. In the context of rapid digital transformation, more and more business and life processes are taking place online, or even without human involvement.
Augmented reality has already proven its positive impact on many businesses. One of the latest trends is so-called WebAR. Indeed, what can be easier than just opening the web page for instant immersive experience? The goal of this project was to develop and optimize the image detection and tracking algorithm for AR applications. The main challenge was to make it work directly in the mobile web front-end with all computations done on the edge.
A student that is about to graduate from the university and has not yet made up his mind about the career he wants to pursue. A freelancer who has already tried a lot of technologies, knows how he wants to develop himself further and would like to gain experience of working in a company. An experienced IT engineer totally burnt out and aiming to find a new passion.
Automatic floor segmentation can serve many interesting purposes including mixed reality (MR) applications, interior design, entertainment, computation of available space in a room, or indoor robot navigation. In this project, we have been solving a problem of scene understanding and, in particular, determining which pixels of the image belong to the floor. The problem of floor segmentation is a good example of how the same task can be solved with classical computer vision algorithms or deep learning.