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公开(公告)号：US11069214B2
公开(公告)日：2021-07-20
申请号：US16502465
申请日：2019-07-03
Applicant: Seechange Technologies Limited
Inventor： Jason Souloglou
Abstract: A method of monitoring for the presence of an event entity in a monitored region comprising receiving, at a first level of detail, first event data from at least one data processing device of a plurality of data processing devices each configured to monitor at least a portion of a monitored region, the first event data indicative of an event entity occurring in the monitored region; processing the first event data to determine the presence of an event entity indicated by the event data; comparing the identified event entity with a data store defining notification events; and responsive to the identified event entity matching a notification event, outputting a notification relating to the identified event entity.
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公开(公告)号：US20240078784A1
公开(公告)日：2024-03-07
申请号：US18272858
申请日：2021-09-23
Applicant: SeeChange Technologies Limited
Inventor： David Packwood , Ariel Edgar Ruiz-Garcia
IPC: G06V10/426 , G06T3/40 , G06V10/44 , G06V10/82
CPC classification number: G06V10/426 , G06T3/40 , G06V10/44 , G06V10/82 , G06V2201/07
Abstract: A computer implemented method of processing image data by an image processing system comprising a directed acyclic graph of nodes for receiving and processing image data is disclosed. The method comprises: at a compute node in the graph: receiving image data; performing an image processing operation on the image data to produce a compute node output based on the data; and transmitting the compute node output to another node in the graph. The method also comprises, at a control node in the graph: receiving a control node input, wherein the control node input is the image data or is based on the image data; and, if the control node determines that a control condition is satisfied, transmitting the control node input to another node in the graph. A computer implemented image processing system is also disclosed.
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公开(公告)号：US11669992B2
公开(公告)日：2023-06-06
申请号：US17162863
申请日：2021-01-29
Applicant: SeeChange Technologies Limited
Inventor： Koki Mitsunami , Michael Andrew Pallister
CPC classification number: G06T7/70 , G06T5/006 , G06T7/55 , G06T7/80 , G06V20/00 , G06V40/10 , G06T2207/20224
Abstract: A computer-implemented method comprises obtaining first data comprising a first collection of coordinate data representing a position, or positions, of a first group of one or more objects detected in a first frame of a scene and obtaining second data comprising a second collection of coordinate data representing a position, or positions, of a second group of one or more objects detected in a second frame of the scene, wherein the second frame represents a different view of the scene than the first frame. The method further comprises determining whether any of the first group of objects correspond to any of the second group of objects in the scene based on the first collection of coordinate data and the second collection of coordinate data, wherein the first frame and the second frame are obtained from image data captured from a single camera position.
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公开(公告)号：US11631019B2
公开(公告)日：2023-04-18
申请号：US16834920
申请日：2020-03-30
Applicant: SEECHANGE TECHNOLOGIES LIMITED
Inventor： David Packwood
Abstract: A computing network has a sensor, a first processor in a first computing network location, and a second processor in a second computing network location, the second computing network location further from the sensor than the first computing network location. The first processor is configured to receive sensor data from the sensor and configured to operate a first machine learning model to make a first inference based on the sensor data. The second processor is configured to receive the sensor data and to operate a second machine learning model to make a second inference based on the sensor data in response to a trigger. The computing network is configured to collate and process the first and second inferences to make an aggregated inference.
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公开(公告)号：US20220319177A1
公开(公告)日：2022-10-06
申请号：US17544400
申请日：2021-12-07
Applicant: SeeChange Technologies Limited
Inventor： Ariel Edgar RUIZ-GARCIA , David Packwood , Michael Andrew Pallister
IPC: G06V20/50 , G06V10/764 , G06V10/82 , G06V10/44 , G06T7/11 , G06T7/194 , G06V10/774
Abstract: System, apparatus and method of image processing to detect a substance spill on a solid surface such as a floor is disclosed. First data representing a first image, captured by an image sensor, of a region including a solid surface, is received. A trained semantic segmentation neural network is applied to the first image data to determine, for each pixel of the first image, a spill classification value associated with the pixel, the determined spill classification value for a given pixel indicating the extent to which the trained semantic segmentation neural network estimates, based on its training, that the given pixel illustrates a substance spill. The presence of a substance spill on the solid surface is detected based on the determined spill classification values of the pixels of the first image.
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Patent Agency Ranking
公开(公告)号：US20210343136A1
公开(公告)日：2021-11-04
申请号：US17376427
申请日：2021-07-15
Applicant: Seechange Technologies Limited
Inventor： Jason SOULOGLOU
Abstract: A method of monitoring for the presence of an event entity in a monitored region comprising receiving, at a first level of detail, first event data from at least one data processing device configured to monitor at least a portion of a monitored region, the first event data indicative of an event entity occurring in the monitored region and being an anonymized compression of raw information data collected by said at least one data processing device; processing the first event data to determine the presence of an event entity indicated by the event data; requesting, at a second level of detail, second event data, wherein the second level of detail is more detailed than the first level of detail; and receiving a notification comprising the second event data having the second level of detail. The second level of detail is requested in response to the event entity matching a notification event, and a recognition server has authorization to access the second event data having the second level of detail. Alternatively, the second level of detail is requested in response to the event entity matching a notification event, and a recognition server has a policy to access the second event data having the second level of detail.
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公开(公告)号：US20210304041A1
公开(公告)日：2021-09-30
申请号：US16834920
申请日：2020-03-30
Applicant: SEECHANGE TECHNOLOGIES LIMITED
Inventor： David PACKWOOD
Abstract: A computing network has a sensor, a first processor in a first computing network location, and a second processor in a second computing network location, the second computing network location further from the sensor than the first computing network location. The first processor is configured to receive sensor data from the sensor and configured to operate a first machine learning model to make a first inference based on the sensor data. The second processor is configured to receive the sensor data and to operate a second machine learning model to make a second inference based on the sensor data in response to a trigger. The computing network is configured to collate and process the first and second inferences to make an aggregated inference.
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公开(公告)号：US20210287391A1
公开(公告)日：2021-09-16
申请号：US17162863
申请日：2021-01-29
Applicant: SeeChange Technologies Limited
Inventor： Koki MITSUNAMI , Michael Andrew PALLISTER
Abstract: A computer-implemented method comprises obtaining first data comprising a first collection of coordinate data representing a position, or positions, of a first group of one or more objects detected in a first frame of a scene and obtaining second data comprising a second collection of coordinate data representing a position, or positions, of a second group of one or more objects detected in a second frame of the scene, wherein the second frame represents a different view of the scene than the first frame. The method further comprises determining whether any of the first group of objects correspond to any of the second group of objects in the scene based on the first collection of coordinate data and the second collection of coordinate data, wherein the first frame and the second frame are obtained from image data captured from a single camera position.
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公开(公告)号：US12154338B2
公开(公告)日：2024-11-26
申请号：US17544400
申请日：2021-12-07
Applicant: SeeChange Technologies Limited
Inventor： Ariel Edgar Ruiz-Garcia , David Packwood , Michael Andrew Pallister
IPC: G06V20/50 , G06T7/11 , G06T7/194 , G06V10/44 , G06V10/764 , G06V10/774 , G06V10/82
Abstract: System, apparatus and method of image processing to detect a substance spill on a solid surface such as a floor is disclosed. First data representing a first image, captured by an image sensor, of a region including a solid surface, is received. A trained semantic segmentation neural network is applied to the first image data to determine, for each pixel of the first image, a spill classification value associated with the pixel, the determined spill classification value for a given pixel indicating the extent to which the trained semantic segmentation neural network estimates, based on its training, that the given pixel illustrates a substance spill. The presence of a substance spill on the solid surface is detected based on the determined spill classification values of the pixels of the first image.
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公开(公告)号：US20240388676A1
公开(公告)日：2024-11-21
申请号：US18694063
申请日：2022-09-07
Applicant: SeeChange Technologies Limited
Abstract: A method for operating a space monitoring apparatus networked with a first camera positioned to capture position data and image data suitable for individuation of a subject and a second camera positioned to capture position data of a subject, the cameras sharing a portion of a field of view. The method includes extracting individuating data and position data of a subject from an image captured by the first camera, extracting second position data of a subject from an image captured by the second camera and matching the first and second position data. Responsive to a match indicating that the first and second subject are an identical entity, creating a tracking reference tagged with the individuating data, storing the tagged reference in a data store for reuse, and signalling the reference to a tracking logic component to coordinate continuity of tracking of the identical entity with the cameras.
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