Screen had 16 patents in artificial intelligence during Q1 2024. Screen Holdings Co Ltd has developed technologies to automate the detection of alignment marks in images, reduce data processing in testing printed images, support adjustment of parameters in substrate processing, and enable imaging of maintenance unit conditions. These innovations aim to improve efficiency and accuracy in various processes within the printing industry. GlobalData’s report on Screen gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Screen grant share with artificial intelligence as a theme is 37% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Mark detection method and computer program (Patent ID: US20240104753A1)

The patent filed by Screen Holdings Co Ltd describes a method for detecting alignment marks on objects using a computer. The method involves encoding partial images of the object using a VAE model to generate latent variables in a multi-dimensional space. These latent variables are then used to select partial images likely to contain alignment marks, reducing the burden on operators searching for these marks. Additional steps include extracting characteristic shapes from images, removing unwanted elements, and updating the VAE model through machine learning to improve mark detection accuracy.

The method also includes steps for adjusting the dimensionality of the latent space based on the distribution of latent variables, reducing the dimensionality to improve efficiency. Furthermore, the learning process involves identifying effective components within the latent variables to generate corrected images for improved detection. The patent also covers a computer program that enables the execution of this mark detection method. Overall, the method streamlines the process of detecting alignment marks on objects by automating the selection of relevant partial images based on latent variables, enhancing operational efficiency and accuracy.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.