Inventec had nine patents in future of work during Q4 2023. In Q4 2023, Inventec Corp filed a patent for a system and method for matching segmented words to verify the correctness of components in a device. This technology involves string processing and segmenting to generate component key words and material key words, which are then compared to determine if the component messages match the bill of materials. If all component messages match, the check for the target device is passed. GlobalData’s report on Inventec gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Inventec grant share with future of work as a theme is 44% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: System of matching segmented words to check correctness of components of device and method thereof (Patent ID: US20230400841A1)

The patent filed by Inventec Corp. describes a system and method for matching segmented words to verify the correctness of components in a device. This involves processing and segmenting strings from component messages and material data in a bill of materials to generate key words for comparison. The system determines a match between component messages and the bill of materials when a threshold quantity of matching key words is reached, ultimately passing a check for the target device when all components match the bill of materials.

The method includes steps such as determining the quantity and quantity values of component messages and material data, performing string processing techniques like upper-case conversion and character removal, and comparing key words using weights and various comparison methods based on data type and string length. The system consists of modules for obtaining component lists and bills of materials, processing and comparing key words, and determining the final result of the check for the target device. Additionally, the system includes functionalities for ensuring quantity and value consistency between component messages and material data, as well as utilizing a long short term memory (LSTM) model for determining material key words corresponding to component key words.

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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.