Automating complex processes requires a software environment that uses non-invasive techniques. To accomplish this, the automation system should incorporate computer vision and natural language processing (NLP) to enable interaction with complex user interfaces, perform user interface-based analysis, and process structured and unstructured data in the form of images, scans, or videos.
Connectivity to the system under test can be established via remote desktop, remote access, or non-intrusive black-box screen capture methods. To achieve maximum process evaluation, the solution should also include optical character recognition (OCR).
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