Patents by Inventor Roman Eichler

Roman Eichler has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250225639
    Abstract: A computer-implemented method of inspecting a printed circuit board assembly (1), PCBA, comprising the steps of: obtaining (S1) numerical measurement results (Feat 1, . . .
    Type: Application
    Filed: February 28, 2023
    Publication date: July 10, 2025
    Inventors: Roman Eichler, Adarsh Mallandur, Sebastian Mehl
  • Publication number: 20230289568
    Abstract: For improved provision of an alarm relating to an accuracy of a trained function, such as detecting an accuracy decrease of a trained function under a distribution drift of incoming data, the following computer-implemented method is suggested: receiving input data messages (140) relating to at least one variable of at least one device (142); applying a trained function (120) to the input data messages (140) to generate output data (152), the output data (152) being suitable for analyzing, monitoring, operating and/or controlling the respective device (142); determining at least one respective distance of the respective variable of a respective received input data message (140) to a reference data set, determining an accuracy value of the trained function (120) using the respective distance and a regression model (130); and if the determined accuracy value is smaller than an accuracy threshold: providing an alarm (150) relating to the determined accuracy value to a user, to the respective device (142) and/or a
    Type: Application
    Filed: June 30, 2021
    Publication date: September 14, 2023
    Inventors: Roman Eichler, Vladimir Lavrik
  • Publication number: 20230176562
    Abstract: For improved provision of an alarm relating to anomaly scores assigned to input data, a method includes receiving input data relating to at least one device. The input data includes incoming data batches X relating to at least N separable classes. Respective anomaly scores are determined for the respective incoming data batch X relating to the at least N separable classes using N anomaly detection models. The anomaly detection models are applied to the input data to generate output data. A difference is determined, for the respective incoming data batch X, between the determined respective anomaly scores for the at least N separable classes and given respective anomaly scores of the N anomaly detection models. When the respective determined difference is greater than a difference threshold, an alarm relating to the determined difference is provided to a user, the respective device, and/or an IT system connected to the respective device.
    Type: Application
    Filed: June 30, 2021
    Publication date: June 8, 2023
    Inventors: Roman Eichler, Vladimir Lavrik