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公开(公告)号:US20220121870A1
公开(公告)日:2022-04-21
申请号:US17502825
申请日:2021-10-15
Applicant: Cape Analytics, Inc.
Inventor: Giacomo Vianello , Robert Davis , John K. Clark , Jonathan M. Fisher
Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.
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2.
公开(公告)号:US20240273366A1
公开(公告)日:2024-08-15
申请号:US18629676
申请日:2024-04-08
Applicant: Cape Analytics, Inc.
Inventor: Ingo Kossyk , Suat Gedikli , Matthieu Portail , Ryan Hedges , Jonathan M. Fisher
IPC: G06N3/08 , G06F18/21 , G06F18/22 , G06N3/04 , G06T7/00 , G06T7/73 , G06V10/764 , G06V10/82 , G06V20/10 , G06V20/17
CPC classification number: G06N3/08 , G06F18/217 , G06F18/22 , G06N3/04 , G06T7/74 , G06T7/97 , G06V10/764 , G06V10/82 , G06V20/17 , G06V20/176 , G06V20/188 , G06T2207/20084
Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.
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公开(公告)号:US20220277538A1
公开(公告)日:2022-09-01
申请号:US17749385
申请日:2022-05-20
Applicant: Cape Analytics, Inc.
Inventor: Giacomo Vianello , Robert Davis , John K. Clark , Jonathan M. Fisher
Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.
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公开(公告)号:US11367265B2
公开(公告)日:2022-06-21
申请号:US17502825
申请日:2021-10-15
Applicant: Cape Analytics, Inc.
Inventor: Giacomo Vianello , Robert Davis , John K. Clark , Jonathan M. Fisher
IPC: G06K9/46 , G06V10/22 , G06T7/50 , G06K9/62 , G06F30/13 , G06V10/25 , G06V10/26 , G06V20/10 , G06N20/00
Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.
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公开(公告)号:US12272109B2
公开(公告)日:2025-04-08
申请号:US17749385
申请日:2022-05-20
Applicant: Cape Analytics, Inc.
Inventor: Giacomo Vianello , Robert Davis , John K. Clark , Jonathan M. Fisher
IPC: G06K9/00 , G06F18/24 , G06F30/13 , G06T7/50 , G06V10/22 , G06V10/25 , G06V10/26 , G06V20/10 , G06N20/00
Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.
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