Engineering automation aims to improve efficiency, accuracy, and productivity of engineering tasks. Automation can help reduce repetitive and time-consuming tasks for human engineers, allowing them to focus on more creative and challenging work.
Engineering an optical system is a time consuming task that involves repetitive steps of geometry definition, ray tracing and evaluating simulation results to iteratively improve the optical system.
In many projects the iterative process consumes more time than initially anticipated. The quality of results is not guaranteed – resulting in budget over-runs and poor performance of the development projects.
To break the repetitive cycle luminous algorithms develops methods that can compute the shape of optical surfaces to precisely match specified criteria.
Engineers can save significant time and effort, which can be redirected to more complex and challenging problems. Automation can also helps improve accuracy by reducing the potential for human error, and leads to more consistent and reliable results.
Overall, automated engineering aims to increase efficiency, improve product quality, reduce costs, and accelerate the development of new products and processes.
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