Enhancing visual testing through AI and CV innovations

The purpose of this whitepaper is to automate visual testing using AI and CV innovations, enhancing UI design validation and reducing manual effort.
 
July 1, 2025
July 1, 2025
Enhancing visual testing through AI and CV innovations

In the realm of digitalization, frequent updates to the products/application UI layer are necessary to enhance customer experience. These design modifications require testers to validate content across both existing and updated UI designs. This includes text labels such as "username," "password," and "login," along with elements like text boxes, icons and buttons. Consequently, developers must ensure the availability of critical text labels and UI components amidst ongoing layout changes.

The recurring design changes in application development pose challenges in areas including product lifecycle management, engineering drawing management and quality management. Addressing these challenges involves comparing current products or drawings with new designs to identify differences. The proposed solution aims to compare UI screens, drawings, webpages, or any images and highlights the discrepancies with high accuracy in a meaningful format.

This whitepaper outlines a solution that delivers comprehensive reports for each identified difference with great precision, allowing testers to easily track and comprehend the variations. The solution also offers an optional X-factor feature to pinpoint specific portions of the image on the target image. By automating the comparison process, this invention reduces the need for manual efforts, thereby decreasing the time and effort required for testing. In scenarios involving frequent design alterations, the solution facilitates the quick and accurate identification of variations, further supported by precise callouts on text and image differences, enabling seamless validation by testers.

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