Patents by Inventor Binyam Gebrekidan GEBRE

Binyam Gebrekidan GEBRE 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).

  • Patent number: 11783165
    Abstract: The invention discloses an apparatus for converting data and for assessing data. The apparatus comprises a processor. For converting data, the processor is configured to train a neural network arrangement to generate a first vector to represent input data, each element of the first vector representing a defined feature of the input data. For assessing data, the processor is configured to provide a neural network trained to generate a first vector representing input data; provide input data to the trained neural network; and generate, using the trained neural network, a first vector representing the input data, wherein each element of the generated first vector represents a defined feature of the input data. Methods and a computer program product are also disclosed.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: October 10, 2023
    Assignee: Koninklijke Philips N.V.
    Inventors: Binyam Gebrekidan Gebre, Christine Menking Swisher
  • Publication number: 20230201622
    Abstract: According to an aspect, there is provided a system (40) configured to perform a personal care operation on skin of a subject. The system (40) comprises a processing unit (46) and a personal care device (2). The personal care device (2) comprises a housing (4) having an aperture (10) that is arranged in the housing (4) such that the aperture (10) is adjacent to the skin when the personal care device (2) is in contact with the skin and is to be used to perform the personal care operation on the skin. The personal care device (2) also comprises an imaging unit (44) disposed in the housing (4) and arranged to obtain images of the skin adjacent to the aperture (10) using light passing through the aperture (10) into the personal care device (2), wherein, in a skin contact detection mode of the system (40), a focal plane (66) of the imaging unit (44) is aligned with the aperture (10).
    Type: Application
    Filed: June 7, 2021
    Publication date: June 29, 2023
    Inventors: STEFANO JOHANNES VAN DEN ELZEN, GERBEN KOOIJMAN, RAMEEZ ISMAIL, ZHAORUI YUAN, BINYAM GEBREKIDAN GEBRE
  • Patent number: 11624149
    Abstract: The invention relates to a portable device (1100) comprising a bottom surface (BS) intended to be in contact with a textile (TXT). The portable device comprises an image sensor (5) for taking an image of a textile, and an illumination system (6) for illuminating a portion of the textile when said image is being taken. The portable device also comprises a control unit (8a) for executing an algorithm stored in the portable device, using the taken image as an input of said algorithm, to obtain a classification of the textile. The image sensor and the control unit are integrated within the portable device. The image sensor has an active surface sensitive to light, which is oriented compared to said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees; and/or the illumination system (6) has a light source oriented compared to the said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: April 11, 2023
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Orhan Kahya, Frederik Jan De Bruijn, Binyam Gebrekidan Gebre, Karl Catharina Van Bree, Victor Martinus Gerardus Van Acht, Yong Jiang, Aditya Mehendale, Harold Agnes Wilhelmus Schmeitz, Dmitry Nikolayevich Znamenskiy, Antonius Johannes Joseph Wismans, Mohankumar Valiyambath Krishnan, Sergio Consoli, Petra Bijl, Arnoldus Johannes Martinus Jozeph Ras, Yao Hean Chiah
  • Patent number: 11521064
    Abstract: A concept for training a neural network model. The concept comprises receiving training data and test data, each comprising a set of annotated images. A neural network model is trained using the training data with an initial regularization parameter. Loss functions of the neural network for both the training data and the test data are used to modify the regularization parameter, and the neural network model is retrained using the modified regularization parameter. This process is iteratively repeated until the loss functions both converge. A system, method and a computer program product embodying this concept are disclosed.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: December 6, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Dimitrios Mavroeidis, Binyam Gebrekidan Gebre, Stojan Trajanovski
  • Patent number: 11490877
    Abstract: The invention provides a method for identifying a characteristic of one or more ultrasound images, wherein each image is of a subject imaged by an ultrasound probe using an ultrasound imaging process. The method includes obtaining a manipulation signal indicative of a manipulation of the ultrasound probe during the imaging process. A portion of the manipulation signal, which indicates the manipulation of the probe during a time period, is obtained. The obtained portion is associated with one or more ultrasound images. A neural network system is then used to classify a characteristic of the one or more ultrasound images based on both the obtained portion of the manipulation signal and the one or more images themselves.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: November 8, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventor: Binyam Gebrekidan Gebre
  • Publication number: 20220207807
    Abstract: According to various embodiments, a method of modifying an appearance of hair in an image of a head of a subject is disclosed.
    Type: Application
    Filed: April 7, 2020
    Publication date: June 30, 2022
    Inventors: Binyam Gebrekidan GEBRE, Karl Catharina VAN BREE
  • Publication number: 20210327563
    Abstract: Various embodiments of the present disclosure are directed to a salient medical imaging controller (80) employing an artificial intelligence engine (40) and a graphical user interface (70). In operation, the artificial intelligence engine (40) includes one or more machine learning models (42) trained to render a feature assessment of a medical image. The graphical user interface (70) provides a user interaction with the artificial intelligence engine (40) to manipulate a salient visualization of the feature assessment of the medical image by the machine learning model(s) (42).
    Type: Application
    Filed: August 21, 2019
    Publication date: October 21, 2021
    Inventors: Ze He, Binyam Gebrekidan Gebre, Christine Menking Swisher
  • Patent number: 11124917
    Abstract: A portable textile treatment device includes a heatable soleplate for contacting and treating the textile, an image sensor and an illumination system. The image sensor has an active surface sensitive and takes an image of the textile, and the illumination system has a light source that illuminates a portion of the textile when the image is being taken. The portable device also includes a control unit configured to execute an algorithm stored in the portable device for obtaining a classification of the textile based on taken image, and based on the classification for controlling at least one operating parameter of the portable textile treatment device. The image sensor and/or light source are oriented with respect to the surface of the heatable soleplate, with an absolute value of an orientation angle being in the range from 15 to 70° C.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: September 21, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Frederik Jan De Bruijn, Binyam Gebrekidan Gebre, Karl Catharina Van Bree, Victor Martinus Gerardus Van Acht, Yong Jiang, Mohankumar Valiyambath Krishnan, Orhan Kahya, Aditya Mehendale, Harold Agnes Willhelmus Schmeitz, Dmitry Nikolayevich Znamenskiy, Antonius Johannes Joseph Wismans, Sergio Consoli, Petra Bijl, Arnoldus Johannes Martinus Jozeph Ras, Yao Hean Chiah
  • Publication number: 20210264271
    Abstract: An adaptable neural network system (1) formed of two neural networks (4, 5). One of the neural networks (5) adjusts a structure of the other neural network (4) based on information about a specific task each time that new second input data (12) indicative of a desired task is received by the one neural network (5), so that the other neural network (4) is adapted to perform that specific task. Thus, an adaptable neural network system (1) capable of performing different tasks on input data (11) can be realized.
    Type: Application
    Filed: August 20, 2019
    Publication date: August 26, 2021
    Inventors: Binyam Gebrekidan Gebre, Stojan Trajanovski
  • Patent number: 11028529
    Abstract: The invention relates to a method of operating a textile treatment device comprising a heatable soleplate intended to be in contact with a textile for treating the textile. The method comprises a first step (1001) of setting a first temperature target for the heatable soleplate, and a step (1002) of detecting movement of said textile treatment device. If the step (1002) of 5 detecting movement did not detect any movement of said textile treatment device during more than a given first time duration, a step (1004) of actively decreasing the temperature of the heatable soleplate (4) up to reaching a first given temperature having a value below said first temperature target.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: June 8, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Xin Xian Kong, Frederik Jan De Bruijn, Binyam Gebrekidan Gebre, Yen Leng Pang, Kenny Khng, Karl Catharina Van Bree, Boon Teck Tan, Victor Martinus Gerardus Van Acht, Yong Jiang, Hee Poh Sin, Mohankumar Valiyambath Krishnan, Orhan Kahya, Aditya Mehendale, Harold Agnes Wilhelmus Schmeitz, Dmitry Nikolayevich Znamenskiy, Antonius Johannes Joseph Wismans, Sergio Consoli, Petra Bijl, Arnoldus Johannes Martinus Jozeph Ras, Yao Hean Chiah
  • Publication number: 20210133553
    Abstract: There is provided a computer-implemented method (200) and system for training a model. A first user input is received to annotate a first parameter in a portion of data (202). The first model is used to predict an annotation for at least one other parameter of the portion of data based on the received first user input for the first parameter (204). The annotated first parameter, the predicted annotation of the at least one other parameter and the portion of data are used as training data to train a second model (206).
    Type: Application
    Filed: August 30, 2018
    Publication date: May 6, 2021
    Inventors: TEUN VAN DEN HEUVEL, BINYAM GEBREKIDAN GEBRE
  • Publication number: 20210108361
    Abstract: The invention relates to a portable textile treatment device (1) comprising a heatable sole plate (4) intended to be in contact with a textile (TXT) for treating the textile. The portable textile treatment device also comprises an image sensor (5) for taking an image of the textile to be treated, an illumination system (6) for illuminating a portion of the textile when said image is being taken. The portable device also comprises a control unit (8) configured for executing an algorithm stored in said portable textile treatment device, using the taken image as an input of said algorithm, to obtain a classification of the textile; and controlling, based on said classification, at least one operating parameter of the portable textile treatment device. The image sensor and the control unit are integrated within the portable textile treatment device.
    Type: Application
    Filed: December 21, 2018
    Publication date: April 15, 2021
    Inventors: Frederik Jan DE BRUIJN, Binyam Gebrekidan GEBRE, Karl Catharina VAN BREE, Victor Martinus Gerardus VAN ACHT, Yong JIANG, Mohankumar VALIYAMBATH KRISHNAN, Orhan KAHYA, Aditya MEHENDALE, Harold Agnes Willhelmus SCHMEITZ, Dmitry Nikolayevich ZNAMENSKIY, Antonius Johannes Joseph WISMANS, Sergio CONSOLI, Petra BIJL, Arnoldus Johannes Martinus Jozeph RAS, Yao Hean CHIAH
  • Publication number: 20210068791
    Abstract: The invention provides a method for identifying a characteristic of one or more ultrasound images, wherein each image is of a subject imaged by an ultrasound probe using an ultrasound imaging process. The method includes obtaining a manipulation signal indicative of a manipulation of the ultrasound probe during the imaging process. A portion of the manipulation signal, which indicates the manipulation of the probe during a time period, is obtained. The obtained portion is associated with one or more ultrasound images. A neural network system is then used to classify a characteristic of the one or more ultrasound images based on both the obtained portion of the manipulation signal and the one or more images themselves.
    Type: Application
    Filed: March 4, 2019
    Publication date: March 11, 2021
    Inventor: Binyam Gebrekidan Gebre
  • Publication number: 20200378056
    Abstract: The invention relates to a method of operating a textile treatment device comprising a heatable soleplate intended to be in contact with a textile for treating the textile. The method comprises a first step (1001) of setting a first temperature target for the heatable soleplate, and a step (1002) of detecting movement of said textile treatment device. If the step (1002) of 5 detecting movement did not detect any movement of said textile treatment device during more than a given first time duration, a step (1004) of actively decreasing the temperature of the heatable soleplate (4) up to reaching a first given temperature having a value below said first temperature target.
    Type: Application
    Filed: December 21, 2018
    Publication date: December 3, 2020
    Inventors: Xin Xian KONG, Frederik Jan DE BRUIJN, Binyam Gebrekidan GEBRE, Yen Leng PANG, Kenny KHNG, Karl Catharina VAN BREE, Boon Teck TAN, Victor Martinus Gerardus VAN ACHT, Yong JIANG, Hee Poh SIN, Mohankumar VALIYAMBATH KRISHNAN, Orhan KAHYA, Aditya MEHENDALE, Harold Agnes Wilhelmus SCHMEITZ, Dmitry Nikolayevich ZNAMENSKIY, Antonius Johannes Joseph WISMANS, Sergio CONSOLI, Petra BIJL, Arnoldus Johannes Martinus Jozeph RAS, Yao Hean CHIAH
  • Publication number: 20200372344
    Abstract: A concept for training a neural network model. The concept comprises receiving training data and test data, each comprising a set of annotated images. A neural network model is trained using the training data with an initial regularization parameter. Loss functions of the neural network for both the training data and the test data are used to modify the regularization parameter, and the neural network model is retrained using the modified regularization parameter. This process is iteratively repeated until the loss functions both converge. A system, method and a computer program product embodying this concept are disclosed.
    Type: Application
    Filed: November 30, 2018
    Publication date: November 26, 2020
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventors: Dimitrios Mavroeidis, Binyam Gebrekidan Gebre, Stojan Trajanovski
  • Publication number: 20200311604
    Abstract: Methods and systems for storing and accessing training example data for a machine learning procedure. The systems and methods described pre-process data to store it in a non-transient memory in a random order. During training, a set of the data is retrieved and stored in a random access memory. One or more subsets of the data may then be retrieved from the random access memory and used to train a machine learning model.
    Type: Application
    Filed: December 18, 2018
    Publication date: October 1, 2020
    Inventor: BINYAM GEBREKIDAN GEBRE
  • Publication number: 20200040517
    Abstract: The invention relates to a portable device (1100) comprising a bottom surface (BS) intended to be in contact with a textile (TXT). The portable device comprises an image sensor (5) for taking an image of a textile, and an illumination system (6) for illuminating a portion of the textile when said image is being taken. The portable device also comprises a control unit (8a) for executing an algorithm stored in the portable device, using the taken image as an input of said algorithm, to obtain a classification of the textile. The image sensor and the control unit are integrated within the portable device. The image sensor has an active surface sensitive to light, which is oriented compared to said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees; and/or the illumination system (6) has a light source oriented compared to the said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees.
    Type: Application
    Filed: December 21, 2018
    Publication date: February 6, 2020
    Inventors: Orhan KAHYA, Frederik Jan DE BRUIJN, Binyam Gebrekidan GEBRE, Karl Catharina VAN BREE, Victor Martinus Gerardus VAN ACHT, Yong JIANG, Aditya MEHENDALE, Harold Agnes Wilhelmus SCHMEITZ, Dmitry Nikolayevich ZNAMENSKIY, Antonius Johannes Joseph WISMANS, Mohankumar VALIYAMBATH KRISHNAN, Sergio CONSOLI, Petra BIJL, Arnoldus Johannes Martinus Jozeph RAS, Yao Hean CHIAH