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openSUSE Innovators

The INNOVATORS for openSUSE project, is an initiative to share, disseminate and promote projects, articles and news about innovative projects on the openSUSE platform developed by the community and public and private companies.

All information on this wiki is related to innovative projects that use augmented reality technology, artificial intelligence, computer vision, robotics, virtual assistants and any and all innovative technology (in all hardware plataforms ).

This initiative search collaborators for the project, the objective is to show the power of the openSUSE platform in innovative projects. To send suggestions, criticisms or be part of the INNOVATORS openSUSE community, send an email to the administrator Alessandro de Oliveira Faria (A.K.A. CABELO) at the email

Warning: Following the openSUSE Trademark Policy, every project must use the "INNOVATORS for openSUSE" label.

Projects 2021

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2021 January

OAK AI Kit running in all openSUSE


We tested the new hardware OAK AI Kit on openSUSE Leap 15.1, 15.2 and Tumbleweed. With all work well, we made available in the SDB an article on how to install this device on the openSUSE platform. More information here: .

Projects 2020

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2020 July

oneAPI compatibility with all openSUSE


I tested the new release of the oneAPI tool on openSUSE Leap 15.1, 15.2 and Tumbleweed. With the total success of the work, I made available in the SDB an article on how to install this solution on the openSUSE platform. More information here:


  • The DPC++ Compatibility Tool is a migration engine that transforms CUDA* code into a standards-based DPC++ code.
  • Data Parallel C++ (DPC++) is an open, standards-based evolution of ISO C++ that incorporates Khronos SYCL* and community extensions to simplify data parallel programming.
  • Designed for end-to-end machine learning and data science.
  • Powerful libraries—including deep learning, math, and video and media processing.

2020 May

Monitoring social distance to combat COVID-19

Using computer vision and deep learning techniques, the system analyzes the behavior of the population, calculating the necessary distance between people to avoid contagion. And with pedestrian and vehicle location algorithms, it is possible to obtain an estimate of the number of people traveling in a given region.

Social distance are behaviors that limit social interaction to reduce the spread of certain diseases. The adoption of these measures is important to prevent an increase in the number of people infected. Thus, the population is able to reduce the number of hospitalizations and avoid overloading the health system

ISOLALERT is a software developed in Brazil at openSUSE with oneAPI, openCV and Deep Learning. This project use artificial inte