公开(公告)号：US11907816B2

公开(公告)日：2024-02-20

申请号：US17892878

申请日：2022-08-22

申请人： Adobe Inc.

发明人： Pinkesh Badjatiya ,  Nikaash Puri ,  Ayush Chopra ,  Anubha Kabra

IPC分类号： G06N20/00 ,  G06N20/10 ,  G06F18/2431 ,  G06F18/211 ,  G06F18/214 ,  G06F18/2453

CPC分类号： G06N20/00 ,  G06F18/211 ,  G06F18/214 ,  G06F18/2431 ,  G06F18/2453 ,  G06N20/10

摘要： A data classification system is trained to classify input data into multiple classes. The system is initially trained by adjusting weights within the system based on a set of training data that includes multiple tuples, each being a training instance and corresponding training label. Two training instances, one from a minority class and one from a majority class, are selected from the set of training data based on entropies for the training instances. A synthetic training instance is generated by combining the two selected training instances and a corresponding training label is generated. A tuple including the synthetic training instance and the synthetic training label is added to the set of training data, resulting in an augmented training data set. One or more such synthetic training instances can be added to the augmented training data set and the system is then re-trained on the augmented training data set.

公开(公告)号：US20240116630A1

公开(公告)日：2024-04-11

申请号：US18532071

申请日：2023-12-07

申请人： Aerobotics (Pty) Ltd

发明人： Benjamin MELTZER ,  Michael WOOTTON ,  James PATERSON ,  Munsanje MWEENE ,  Joshua Washington PERRY

IPC分类号： B64C39/02 ,  A01G17/00 ,  A01G22/05 ,  G06F18/214 ,  G06F18/23 ,  G06F18/2411 ,  G06F18/2453 ,  G06N3/08 ,  G06N5/01 ,  G06N20/10 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17

CPC分类号： B64C39/024 ,  A01G17/005 ,  A01G22/05 ,  G06F18/214 ,  G06F18/23 ,  G06F18/2411 ,  G06F18/2453 ,  G06N3/08 ,  G06N5/01 ,  G06N20/10 ,  G06V10/764 ,  G06V10/771 ,  G06V10/806 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17 ,  G06V20/188 ,  G06T2207/30128 ,  G06T2207/30188 ,  G06V20/68

摘要： Methods for predicting a yield of fruit growing in an agricultural plot are provided. At a first time, a first plurality of images of a canopy of the agricultural plot is obtained from an aerial view of the canopy of the agricultural plot. From the first plurality of images, a first number of detectable fruit is estimated. At a second time, a second plurality of images of the canopy of the agricultural plot is obtained from the aerial view of the canopy of the agricultural plot. From the second plurality of images, a second number of detectable fruit is estimated. Using at least the first number of detectable fruit and the second number of detectable fruit and agricultural plot information, predict the yield of fruit from the agricultural plot.

公开(公告)号：US20230418380A1

公开(公告)日：2023-12-28

申请号：US18317058

申请日：2023-05-13

申请人： MindMaze Group SA

发明人： Tej TADI ,  Robert LEEB ,  Nicolas BOURDAUD ,  Gangadhar GARIPELLI ,  Skander MENSI ,  Nicolas MERLINI ,  Yann LEBRUN

IPC分类号： G06F3/01 ,  G06V40/16 ,  G06F18/245 ,  G06F18/2132 ,  G06F18/2453 ,  G06F18/2415

CPC分类号： G06F3/015 ,  G06V40/174 ,  G06V40/176 ,  G06F18/245 ,  G06F18/2132 ,  G06F18/2453 ,  G06F18/24155 ,  G10L2015/025

摘要： A system, method and apparatus for detecting facial expressions according to EMG signals.

公开(公告)号：US11989340B2

公开(公告)日：2024-05-21

申请号：US17163327

申请日：2021-01-29

申请人： MINDMAZE GROUP SA

发明人： Tej Tadi ,  Robert Leeb ,  Nicolas Bourdaud ,  Leandre Bolomey ,  Gangadhar Garipelli ,  Skander Mensi ,  Julien Pilet ,  Dat Ngo ,  Yann Lebrun ,  Arthur Giroux ,  Sylvain Cardin ,  Nicolas Merlini

IPC分类号： G06F3/01 ,  G06F3/0346 ,  G06F18/2132 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2415 ,  G06F18/2453 ,  G06F18/25 ,  G06V40/10 ,  G06V40/16

CPC分类号： G06F3/012 ,  G06F3/015 ,  G06F3/017 ,  G06F3/0346 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24155 ,  G06F18/2453 ,  G06F18/254 ,  G06V40/10 ,  G06V40/174 ,  G06V40/176 ,  G06F18/21326 ,  G06F2218/02 ,  G06F2218/04 ,  G06F2218/08 ,  G06F2218/12 ,  G06V40/15

摘要： Systems, methods, apparatuses and devices for detecting facial expressions according to EMG signals for a virtual and/or augmented reality (VR/AR) environment, in combination with a system for simultaneous location and mapping (SLAM), are presented herein.

公开(公告)号：US20230365258A1

公开(公告)日：2023-11-16

申请号：US18359716

申请日：2023-07-26

申请人： Aerobotics (Pty) Ltd

发明人： Benjamin MELTZER ,  Michael WOOTTON ,  James PATERSON ,  Munsanje MWEENE ,  Josh Perry

IPC分类号： B64C39/02 ,  A01G22/05 ,  G06V20/10 ,  G06V10/771 ,  G06V10/764 ,  G06V10/82 ,  G06N20/10 ,  A01G17/00 ,  G06N3/08 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06F18/2453 ,  G06N5/01 ,  G06V10/80 ,  G06V20/17

CPC分类号： B64C39/024 ,  A01G22/05 ,  G06V20/188 ,  G06V20/10 ,  G06V10/771 ,  G06V10/764 ,  G06V10/82 ,  G06N20/10 ,  A01G17/005 ,  G06N3/08 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06F18/2453 ,  G06N5/01 ,  G06V10/806 ,  G06V20/17 ,  G06T2207/30128 ,  G06T2207/30188 ,  G06V20/68

摘要： Methods for predicting a yield of fruit growing in an agricultural plot are provided. At a first time, a first plurality of images of a canopy of the agricultural plot is obtained from an aerial view of the canopy of the agricultural plot. From the first plurality of images, a first number of detectable fruit is estimated. At a second time, a second plurality of images of the canopy of the agricultural plot is obtained from the aerial view of the canopy of the agricultural plot. From the second plurality of images, a second number of detectable fruit is estimated. Using at least the first number of detectable fruit and the second number of detectable fruit and agricultural plot information, predict the yield of fruit from the agricultural plot.

公开(公告)号：US11748452B2

公开(公告)日：2023-09-05

申请号：US17661448

申请日：2022-04-29

申请人： Huawei Technologies Co., Ltd.

发明人： Ruiming Tang ,  Huifeng Guo ,  Zhenguo Li ,  Xiuqiang He

IPC分类号： G06F18/2321 ,  G06F18/2451 ,  G06F18/2133 ,  G06F18/2453

CPC分类号： G06F18/2321 ,  G06F18/2133 ,  G06F18/2451 ,  G06F18/2453

摘要： The method includes: obtaining a plurality of pieces of feature data; automatically performing two different types of nonlinear combination processing operations on the plurality of pieces of feature data to obtain two groups of processed data, where the two groups of processed data include a group of higher-order data and a group of lower-order data, the higher-order data is related to a nonlinear combination of m pieces of feature data in the plurality of pieces of feature data, and the lower-order data is related to a nonlinear combination of n pieces of feature data in the plurality of pieces of feature data, where m≥3, and m>n≥2; and determining prediction data based on a plurality of pieces of target data, where the plurality of pieces of target data include the two groups of processed data.

公开(公告)号：US11748600B2

公开(公告)日：2023-09-05

申请号：US17014699

申请日：2020-09-08

申请人： SOCIONEXT INC.

发明人： Yukihiro Sasagawa

IPC分类号： G06N3/063 ,  G06N3/08 ,  G06N20/10 ,  G06F18/214 ,  G06F18/2431 ,  G06F18/2451 ,  G06F18/2453

CPC分类号： G06N3/063 ,  G06F18/214 ,  G06F18/2431 ,  G06F18/2451 ,  G06F18/2453 ,  G06N3/08 ,  G06N20/10

摘要： A quantization parameter optimization method includes: determining a cost function in which a regularization term is added to an error function, the regularization term being a function of a quantization error that is an error between a weight parameter of a neural network and a quantization parameter that is a quantized weight parameter; updating the quantization parameter by use of the cost function; and determining, as an optimized quantization parameter of a quantization neural network, the quantization parameter with which a function value derived from the cost function satisfies a predetermined condition, the optimized quantization parameter being obtained as a result of repeating the updating, the quantization neural network being the neural network, the weight parameter of which has been quantized, wherein the function value derived from the regularization term and an inference accuracy of the quantization neural network are negatively correlated.

公开(公告)号：US11718401B2

公开(公告)日：2023-08-08

申请号：US17206068

申请日：2021-03-18

申请人： Aerobotics (Pty) Ltd

发明人： Benjamin Meltzer ,  Michael Wootton ,  James Paterson ,  Munsanje Mweene

IPC分类号： B64C39/02 ,  A01G22/05 ,  G06V20/10 ,  G06V10/771 ,  G06V10/764 ,  G06V10/82 ,  G06N20/10 ,  A01G17/00 ,  G06N3/08 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06F18/2453 ,  G06N5/01 ,  G06V10/80 ,  G06V20/17 ,  G06V20/68 ,  B64U101/30

CPC分类号： B64C39/024 ,  A01G17/005 ,  A01G22/05 ,  G06F18/214 ,  G06F18/23 ,  G06F18/2411 ,  G06F18/2453 ,  G06N3/08 ,  G06N5/01 ,  G06N20/10 ,  G06V10/764 ,  G06V10/771 ,  G06V10/806 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17 ,  G06V20/188 ,  B64U2101/30 ,  G06T2207/30128 ,  G06T2207/30188 ,  G06V20/68

摘要： A computer system obtains, in electronic format, a training dataset. The training dataset comprises a plurality of training images from a plurality of agricultural plots. Each training image is from a respective agricultural plot in the plurality of agricultural plots and comprises at least one identified fruit. The computer system determines, for each respective fruit in each respective training image in the plurality of training images, a corresponding contour. The computer system trains an untrained or partially trained computational model using at least the corresponding contour for each respective fruit in each respective training image in the plurality of training images, thereby obtaining a first trained computational model that is configured to identify fruit in agricultural plot images.

公开(公告)号：US11709548B2

公开(公告)日：2023-07-25

申请号：US17940163

申请日：2022-09-08

申请人： MindMaze Group SA

发明人： Tej Tadi ,  Robert Leeb ,  Nicolas Bourdaud ,  Gangadhar Garipelli ,  Skander Mensi ,  Nicolas Merlini ,  Yann Lebrun

IPC分类号： G06V40/16 ,  G06F3/01 ,  G06F18/245 ,  G06F18/2132 ,  G06F18/2453 ,  G06F18/2415 ,  G10L15/02 ,  G10L15/04 ,  G10L21/10

CPC分类号： G06V40/174 ,  G06F3/015 ,  G06F18/2132 ,  G06F18/245 ,  G06F18/2453 ,  G06F18/24155 ,  G06V40/176 ,  G06F2218/04 ,  G06F2218/08 ,  G10L15/04 ,  G10L2015/025 ,  G10L2021/105

摘要： A system, method and apparatus for detecting facial expressions according to EMG signals.

公开(公告)号：US11948439B2

公开(公告)日：2024-04-02

申请号：US15734389

申请日：2018-07-13

申请人： Carrier Corporation

发明人： Jie Xi ,  Michael J. Birnkrant ,  Junyang Lin ,  Jun Hou ,  Peter R. Harris ,  Tianyuan Chen

IPC分类号： G08B17/10 ,  G01N15/06 ,  G06F18/2415 ,  G06F18/2451 ,  G06F18/2453 ,  G06F18/25 ,  G08B17/107

CPC分类号： G08B17/107 ,  G01N15/06 ,  G06F18/24155 ,  G06F18/2451 ,  G06F18/2453 ,  G06F18/253 ,  G06F18/254 ,  G01N2015/0693

摘要： A method of measuring one or more conditions within a predetermined area includes receiving at a control system a signal including scattered light and time of flight information associated with a plurality of nodes of a detection system, parsing the time of flight information into zones of the detection system, identifying one or more features within the scattered light signal, and analyzing the one or more features within the scattered light signal to determine a presence of the one or more conditions within the predetermined area.