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公开(公告)号:US12131450B2
公开(公告)日:2024-10-29
申请号:US18505067
申请日:2023-11-08
发明人: Reza Farivar , Kenneth Taylor
IPC分类号: G06T5/80 , G06F18/214 , G06N3/08 , G06N20/00 , G06T7/13 , G06T7/194 , G06V10/82 , G06V20/64 , G06V30/148 , G06V30/19 , G06V30/40 , G06V30/412 , G06V30/414
CPC分类号: G06T5/80 , G06F18/214 , G06N3/08 , G06N20/00 , G06T7/13 , G06T7/194 , G06V10/82 , G06V20/64 , G06V30/153 , G06V30/19173 , G06V30/40 , G06V30/412 , G06V30/414 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/20092
摘要: Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.
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公开(公告)号:US12124844B2
公开(公告)日:2024-10-22
申请号:US18207305
申请日:2023-06-08
发明人: Reza Farivar , Kenneth Taylor , Austin Grant Walters , Fardin Abdi Taghi Abad , Anh Truong , Vincent Pham , Jeremy Edward Goodsitt
摘要: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.
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公开(公告)号:US11830170B2
公开(公告)日:2023-11-28
申请号:US17225628
申请日:2021-04-08
发明人: Reza Farivar , Kenneth Taylor
IPC分类号: G06T5/00 , G06N3/08 , G06N20/00 , G06V30/414 , G06V30/40 , G06V30/19 , G06V10/82 , G06T7/194 , G06T7/13 , G06V30/148 , G06V30/412 , G06F18/213 , G06F18/214 , G06V20/64
CPC分类号: G06T5/006 , G06F18/213 , G06F18/214 , G06N3/08 , G06N20/00 , G06T7/13 , G06T7/194 , G06V10/82 , G06V20/64 , G06V30/153 , G06V30/19173 , G06V30/40 , G06V30/412 , G06V30/414 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/20092
摘要: Systems and methods for processing image data representing a document to remove deformations contained in the document are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to provide, to a machine learning system, a training dataset representing a plurality of documents containing a plurality of training deformations. The instructions may also instruct the system to use the machine learning system to process image data representing a target document containing a target document deformation. The machine learning system may generate restored image data representing the target document with the target document deformation removed. The instructions may further instruct the system to provide the restored image data to at least one of a graphical user interface, an image storage device, or a computer vision system.
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公开(公告)号:US11640454B2
公开(公告)日:2023-05-02
申请号:US17060834
申请日:2020-10-01
发明人: Kate Key , Anh Truong , Jeremy Goodsitt , Kenneth Taylor , Reza Farivar , Mark Watson , Fardin Abdi Taghi Abad , Austin Walters , Vincent Pham
IPC分类号: G06F21/36 , H04L9/40 , G06Q10/107 , G06Q10/10
摘要: A secure method for resetting the password for an account is disclosed. During the setup of the account, the user can provide the service provider with a media file, and when the user asks the service provider to reset the password for the account, the user will be prompted with several media files. The user can be asked to identify the media file that the user provided to the service provider at the time of the setup of the account. If the user properly identifies the media file, the password will be reset.
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公开(公告)号:US11538171B2
公开(公告)日:2022-12-27
申请号:US17249378
申请日:2021-03-01
发明人: Reza Farivar , Kenneth Taylor
摘要: A method may include identifying a first image for training a deep learning network, wherein the first image includes at least one target object associated with at least one location in the first image, and wherein the first image is associated with a mask image; determining a set of deformations to create a training set of deformed images, wherein the training set is to be used to train the deep learning network; generating the training set of deformed images by applying the set of deformations to the first image; and generating a set of deformed mask images by applying the set of deformations to the mask image, wherein each deformed image of the training set of deformed images is associated with a respective mask image to identify the location of the at least one target object in each deformed image.
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公开(公告)号:US11386756B2
公开(公告)日:2022-07-12
申请号:US16947308
申请日:2020-07-28
摘要: An ATM device may receive a request to process an ATM transaction; dispense, via an instrument dispenser, a plurality of instruments based on the request; perform image segmentation of one or more images of an area surrounding the instrument dispenser, wherein the image segmentation is performed using a deep learning network trained using synthetic models of hands; detect, based on performing the image segmentation, that a user's hand approaches the instrument dispenser after dispensing the plurality of instruments; determine, after dispensing the plurality of instruments and after detecting that the user's hand approaches the instrument dispenser, that a portion of the plurality of instruments is present at the instrument dispenser; and perform one or more actions based on determining that the portion of the plurality of instruments is present at the instrument dispenser.
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公开(公告)号:US11354397B2
公开(公告)日:2022-06-07
申请号:US16996580
申请日:2020-08-18
发明人: Kenneth Taylor , Fardin Abdi Taghi Abad , Jeremy Goodsitt , Austin Walters , Vincent Pham , Anh Truong
摘要: Systems and methods for augmented reality authentication of a user are described, including authenticating a user by presenting the user with augmented reality authentication challenges, evaluating the user's response, and using the response to authenticate the user.
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公开(公告)号:US11250156B2
公开(公告)日:2022-02-15
申请号:US16726801
申请日:2019-12-24
发明人: Jeremy Edward Goodsitt , Austin Grant Walters , Fardin Abdi Taghi Abad , Vincent Pham , Anh Truong , Kenneth Taylor
摘要: Various embodiments are generally directed to techniques to enhance the security of physically delivered packages, items, or products, including postal mail. An article of manufacture associated with the enhanced security of one or more embodiments of the present disclosure can include: a container with a postage, a physical medium in the container, wherein the physical medium contains a sender message embodied on the surface of the physical medium, and wherein the sender message comprises: an unencrypted message, and two or more encrypted portions of a plurality of terms of service, where each of the two or more encrypted portions of the plurality of terms of service are associated with a distinct barcode corresponding to each of the two or more encrypted portions.
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公开(公告)号:US11151452B2
公开(公告)日:2021-10-19
申请号:US16277324
申请日:2019-02-15
发明人: Austin Walters , Jeremy Edward Goodsitt , Fardin Abdi Taghi Abad , Reza Farivar , Vincent Pham , Mark Watson , Kenneth Taylor , Anh Truong
IPC分类号: G06N3/08 , G06Q50/18 , G06N3/04 , G06F40/289
摘要: A system is configured to receive first training data, train a first neural network (NN) based on the first training data, receive second training data, train a second NN based on the second training data, receive a first plain English phrase, provide the first plain English phrase to the first NN, generate, via the first NN, one or more first legal clauses based on the first plain English phrase, receive a second plain English phrase, provide the second plain English phrase to the first NN, generate, via the first NN, one or more second legal clauses based on the second plain English phrase, provide the one or more first legal clauses and the one or more second legal clauses to the second NN, and generate, via the second NN, a legal document based on the one or more first legal clauses and the one or more second legal clauses.
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10.
公开(公告)号:US11126475B2
公开(公告)日:2021-09-21
申请号:US16172480
申请日:2018-10-26
发明人: Vincent Pham , Anh Truong , Fardin Abdi Taghi Abad , Jeremy Goodsitt , Austin Walters , Mark Watson , Reza Farivar , Kenneth Taylor
IPC分类号: G06N3/04 , G06N3/08 , G06F9/54 , G06N20/00 , G06F17/16 , G06F11/36 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/03 , G06K9/62 , G06K9/66 , G06K9/68 , G06K9/72 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L29/06 , H04L29/08 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02
摘要: Systems and methods for transforming legacy models and transforming a model into a neural network model are disclosed. In an embodiment, a method may include receiving input data comprising an input model, an input dataset, and an input command. The method may include applying the input model to the input dataset to generate model output and storing model output and at least one of input model features or a map of the input model. The method may include generating a candidate neural network models with parameters. The method may include tuning the candidate neural network models to the input model. The method may include receiving model output from the candidate neural network models and selecting a neural network model from the candidate neural network models based on the candidate model output and the model selection criteria. In some aspects, the method may include returning the selected neural network model.
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