Advantest has been granted a patent for an automated test equipment that can test multiple devices simultaneously. The equipment includes a port processing unit with a high-speed interface, memory for storing data, and a streaming error detection block. If a command error is detected, data storage is limited. GlobalData’s report on Advantest gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Advantest, NFC-enabled implants was a key innovation area identified from patents. Advantest's grant share as of February 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Automated test equipment for detecting and storing device errors
A recently granted patent (Publication Number: US11913990B2) discloses an automated test equipment designed for testing one or more devices under test. The equipment includes a port processing unit with a high-speed-input-output interface, a memory for storing data from the devices under test, and a streaming error detection block to identify command errors in the received data. Upon detecting a command error, the port processing unit limits the storage of data following the erroneous command, preventing further processing of data from the affected device.
Furthermore, the automated test equipment features advanced capabilities such as comparing received data with expected data, detecting payload data errors, and storing statistical information for failure analysis. The equipment is also equipped to dynamically adjust compression functions based on error distribution, track data usage by devices under test, and discard command data before analyzing payload types. The patent also covers a method for automated testing of devices under test and a computer-readable medium containing program code for implementing the testing method, emphasizing the innovative approach to error detection and data processing in automated testing scenarios.
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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.
