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公开(公告)号：US11284041B1
公开(公告)日：2022-03-22
申请号：US15841240
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Alessandro Bergamo , Pahal Kamlesh Dalal , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Marian Nasr Amin George , Jean Laurent Guigues , Gerard Guy Medioni , Kartik Muktinutalapati , Robert Matthias Steele , Lu Xia
Abstract: In a materials handling facility, events may be associated with users based on imaging data captured from multiple fields of view. When an event is detected at a location within the fields of view of multiple cameras, two or more of the cameras may be identified as having captured images of the location at a time of the event. Users within the materials handling facility may be identified from images captured prior to, during or after the event, and visual representations of the respective actors may be generated from the images. The event may be associated with one of the users based on distances between the users' hands and the location of the event, as determined from the visual representations, or based on imaging data captured from the users' hands, which may be processed to determine which, if any, of such hands includes an item associated with the event.
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公开(公告)号：US11030442B1
公开(公告)日：2021-06-08
申请号：US15841237
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Alessandro Bergamo , Pahal Kamlesh Dalal , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Marian Nasr Amin George , Jean Laurent Guigues , Gerard Guy Medioni , Kartik Muktinutalapati , Robert Matthias Steele , Lu Xia
Abstract: In a materials handling facility, events may be associated with users based on imaging data captured from multiple fields of view. When an event is detected at a location within the fields of view of multiple cameras, two or more of the cameras may be identified as having captured images of the location at a time of the event. Users within the materials handling facility may be identified from images captured prior to, during or after the event, and visual representations of the respective actors may be generated from the images. The event may be associated with one of the users based on distances between the users' hands and the location of the event, as determined from the visual representations, or based on imaging data captured from the users' hands, which may be processed to determine which, if any, of such hands includes an item associated with the event.
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Patent Agency Ranking
公开(公告)号：US12175750B1
公开(公告)日：2024-12-24
申请号：US17548125
申请日：2021-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Prathyusha Reddy Cheruku , Joseph P Tighe , Alessandro Bergamo , Vivek Bhadauria , Shubham Chandra Gupta
Abstract: Techniques for unique label recognition and notification for streaming video. A video stream from a camera-equipped electronic device is received via the API endpoint of a stream processing service in a provider network. A request for unique label recognition and notification is received via an API endpoint of a computer vision service in the provider network. The computer vision service analyzes a video fragment of the video stream. If a unique label is recognized in the video fragment, then a notification service in the provider network sends a notification that the unique label was recognized in video captured by the camera-equipped electronic device.
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公开(公告)号：US11853961B1
公开(公告)日：2023-12-26
申请号：US17444697
申请日：2021-08-09
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Alessandro Bergamo
IPC: G06Q10/087 , G06V10/75 , G06F18/28 , G06Q30/04 , G06F16/58
CPC classification number: G06Q10/087 , G06F18/28 , G06V10/751 , G06F16/5866 , G06Q30/04
Abstract: A camera acquires an image of an item involved in an interaction, such as the item being picked or placed on a shelf by a user. The item depicted in the image is identified via item recognition using a customized neural network that uses previously trained subnetworks for a set of candidate items. The candidate items are determined based on items near a user location, items associated with a user cart, items in a shopping list or wish list associated with the user, or items otherwise associated with the user. Each previously trained subnetwork for a candidate item includes one or more reference images and corresponding reference feature data. The customized neural network uses a matching and inference network to test the image against the candidate items and provide comparison data indicative of a similarity between the item depicted in the image and one of the candidate items.
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公开(公告)号：US12073619B1
公开(公告)日：2024-08-27
申请号：US17547977
申请日：2021-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Prathyusha Reddy Cheruku , Joseph P Tighe , Alessandro Bergamo , Vivek Bhadauria , Shubham Chandra Gupta
IPC: G06V20/40 , G06V20/20 , H04N23/661
CPC classification number: G06V20/40 , G06V20/20 , H04N23/661
Abstract: Techniques for label recognition and notification for streaming video from non-overlapping cameras. A stream processing service of a provider network receives a first video stream from a first camera-equipped electronic device via an API endpoint of the stream processing service. The stream processing service also receives a second video stream from a second camera-equipped electronic device an API endpoint of the stream processing service. Meanwhile, a request for label recognition and notification is received at a computer vision service of the provider network via an API endpoint of the computer vision service. In response, the computer vision service recognizes a label in a video fragment of the first camera video stream and recognizes a label in a video fragment of the second camera video stream, and then identifies whether the two labels are the same label. If so, a notification service of the provider network sends a notification indicating that the label was recognized across non-overlapping cameras.
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公开(公告)号：US11869065B1
公开(公告)日：2024-01-09
申请号：US16272420
申请日：2019-02-11
Applicant: Amazon Technologies, Inc.
Inventor： Jayakrishnan Kumar Eledath , Nikhil Chacko , Alessandro Bergamo , Kaustav Kundu , Marian Nasr Amin George , Jingjing Liu , Nishitkumar Ashokkumar Desai , Pahal Kamlesh Dalal , Keshav Nand Tripathi
IPC: G06Q30/0601 , G06V10/40 , G06V40/20 , G06F18/241
CPC classification number: G06Q30/0633 , G06F18/241 , G06V10/40 , G06V40/28
Abstract: This disclosure describes systems and techniques for identifying events that occur within an environment using image data captured at the environment. For example, one or more cameras may generate image data representative of a user interacting with an item on the shelf. This image data may be used to generate feature data associated with the user and the item, which may be analyzed by one or more classifiers for identifying an interaction between the user and the item. The systems and techniques may then generate interaction data, which in turn may be analyzed by one or more additional classifiers for identifying an event, such as the user picking a particular item from the shelf within the environment. Event data indicative of the event may then be used to update a virtual cart of the user.
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公开(公告)号：US11087273B1
公开(公告)日：2021-08-10
申请号：US15842668
申请日：2017-12-14
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Alessandro Bergamo
Abstract: A user interacts with an inventory location, such as a lane on a shelf, picking items or placing items to that inventory location. A neural network (NN) is trained using a subset of reference images to determine parameters, such as node weights. An image of the user interaction is acquired and processed by the NN to determine if an item in a test image matches an item in a candidate set of items. During use, the parameters are used to dynamically instantiate an ad hoc neural network having a graph that is based on a number of items in a candidate set. The candidate set of items may comprise items within reach of a user at the time the test image was acquired, such as on a nearby shelf or tote. The NN output indicates if the test image is deemed to match one of the candidate set of items.
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