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AILiveSim is a simulation platform that support the development of algorithms for machine
vision as well as perception-based and autonomous machines, especially for training, testing, and validation systems, either based on traditional algorithms or machine learning.
Provided with the platform, default libraries of standard sensors, scenes and objects are easily parameterized to match project requirements. The platform relies on parametric environments and objects in the virtual world, enabling very precise control and allowing to create scenarios that are close to real life. A full suite of editors for sensor placement, scenes and scenarios as well as production of data sets, allows high productivity for data generation by development teams. Variations based on template scenarios, automatically or manually, search for relevant combinations of parameters make it easy to generate the right data when needed.
The solution offers development teams with a robust understanding of the performances of their
system and allows them to improve their reliability by focusing on the right things. Teams can proactively identify the type of data they need and plan the collection and annotation of only
the data that matters.
