Integrations

The processes of solving scientific and engineering problems may extend beyond the scope of direct modeling on the REPEAT VISION platform. Examples of such processes may include:

• Modeling of a product with automated transfer of initial data to the REPEAT VISION model from diagnostic systems of the product in use or from a laboratory test bench of the product. This process is performed during the implementation of Product digital twin.

• Automated modeling of a product in REPEAT VISION with subsequent calculation of the objective function when solving the optimization problem.

• Modeling physical processes in REPEAT VISION to create an approximation model including a machine learning model for its further use in external engineering and scientific programs.

• Creation of specialized engineering programs in which modeling of a product in REPEAT VISION is one of the stages of process automation or one of the stages of operation of an engineering program.

In order to ensure the solution of the tasks from the list above, as well as to ensure automated interaction of REPEAT VISION with user programs, tools have been created for integrating REPEAT VISION with external software.

• REST API
• Interface for Python
• Tools for interacting with ML models in Python