BMW Open Sources AI Algorithm for its Production Environment Industry 4.0
BMW has implemented next-generation production processes in factories around the world, from parts distribution robots to workers’ exoskeleton. Today, the Bavarian-based automaker announced the release of AI algorithms used in its production environment for anyone interested.
The algorithm released by BMW is part of various intelligent manufacturing AI applications, mainly automatic image recognition and image tagging. Neural networks can independently compare real-time images in production and logistics with an image database to detect any deviations from the target state.
After the algorithm is open source, software developers around the world can view, change, use and improve BMW’s source code.
With the algorithms we are now publishing, the BMW Group has significantly reduced the development time for neural networks for autonomous transport systems and robots.
—Dirk Dreher, Head of Logistics Planning
We are making major investments in artificial intelligence. By sharing our algorithms with the global developer community, we want to do our part and make AI accessible to a broad group of users. We expect the further open source development to lead to a rapid and agile advancement of the software.
—Kai Demtröder, Head of Artificial Intelligence, Data Platforms at BMW Group IT
