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Patent Agency Ranking
公开(公告)号：US10438302B2
公开(公告)日：2019-10-08
申请号：US15688567
申请日：2017-08-28
Applicant: THE CLIMATE CORPORATION
Inventor： Juan Pablo Bedoya , Victor Stuber , Gerard Guillemette , Joost Kemink , Yaqi Chen , Daniel Williams , Ying She , Marian Farah , Julian Boshard , Wei Guan
IPC: G06K9/00 , G06Q50/02 , G06K9/46 , G06K9/68 , A01D41/127 , G01D21/02 , A01G7/06 , A01B79/00 , A01D91/00 , A01G22/00
Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
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公开(公告)号：US10423850B2
公开(公告)日：2019-09-24
申请号：US15725284
申请日：2017-10-05
Applicant: THE CLIMATE CORPORATION
Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions. In addition, the method comprises choosing a group of final regions from the lists of mapped regions based on the determining; and causing display of information regarding the group of final regions.
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公开(公告)号：US11176623B2
公开(公告)日：2021-11-16
申请号：US16595420
申请日：2019-10-07
Applicant: THE CLIMATE CORPORATION
Inventor： Juan Pablo Bedoya , Victor Stuber , Gerard Guillemette , Joost Kemink , Yaqi Chen , Daniel Williams , Ying She , Marian Farah , Julian Boshard , Wei Guan
IPC: G06K9/00 , G06Q50/02 , G06K9/46 , G06K9/68 , A01D41/127 , G01D21/02 , A01B79/00 , A01G7/06 , A01D91/00 , A01G22/00
Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
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公开(公告)号：US20190384998A1
公开(公告)日：2019-12-19
申请号：US16554485
申请日：2019-08-28
Applicant: The Climate Corporation
Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions. In addition, the method comprises choosing a group of final regions from the lists of mapped regions based on the determining; and causing display of information regarding the group of final regions.
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公开(公告)号：US10755129B2
公开(公告)日：2020-08-25
申请号：US16554485
申请日：2019-08-28
Applicant: The Climate Corporation
Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions. In addition, the method comprises choosing a group of final regions from the lists of mapped regions based on the determining; and causing display of information regarding the group of final regions.
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