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公开(公告)号:US20230291870A1
公开(公告)日:2023-09-14
申请号:US18000428
申请日:2020-09-04
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: PIETRO RUSSO , PAWEL JURZAK , RAGURAMAN KUMARESAN
IPC: H04N7/18 , G06V10/25 , G06V20/52 , H04N23/69 , H04N23/695
CPC classification number: H04N7/18 , G06V10/25 , G06V20/52 , H04N23/69 , H04N23/695
Abstract: A computer-implemented method for recommending changes in relation to video security camera deployment within a security system is disclosed. The computer-implemented method includes obtaining, at an at least one electronic computing device, video analytics data in respect of a plurality of video frames captured by an at least one video security camera operating under a plurality of operational parameters. When processing of the video analytics data indicates at least one issue in relation to performance of the video security camera, a visual message or an audio message is delivered by a screen or a speaker respectively. The visual or audio message indicates a recommendation in relation to some change, replacement or upgrading of the video security camera.
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2.
公开(公告)号:US20230334400A1
公开(公告)日:2023-10-19
申请号:US17659338
申请日:2022-04-15
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: PATRICK D. KOSKAN , PIETRO RUSSO
IPC: G06Q10/06
CPC classification number: G06Q10/0633
Abstract: Tendency detecting and analysis in support of generating one or more workflows via user interface interactions is disclosed. In accordance with the user interface interactions, processing user selection of one or more icons may generate at least one user-selectable option within a graphical user interface, where the user-selectable option corresponds to at least one workflow action. The workflow action may relate to an identified tendency of a person or a group of people.
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3.
公开(公告)号:US20230306545A1
公开(公告)日:2023-09-28
申请号:US17656342
申请日:2022-03-24
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: FRANCESCA SCHULER , CHAD ESPLIN , BRIAN PUGH , TRENT J. MILLER , STEVEN D. TINE , PIETRO RUSSO
IPC: G06Q50/26
CPC classification number: G06Q50/26
Abstract: Technical methods, devices, and systems disclosed herein provide a predictive case-solvability score service. The predictive case-solvability score service generates case solvability scores for cases, detects events that signal those scores should be updated, updates a machine-learning model over time to ensure current trends in recent data are reflected, and identifies specific actions to recommend for increasing those scores. Furthermore, the predictive case-solvability score service provides an interface that allows users to perceive trends in case-solvability scores over time and to execute some of the specific recommended actions.
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公开(公告)号:US20210241405A1
公开(公告)日:2021-08-05
申请号:US16782770
申请日:2020-02-05
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: MARIYA BONDAREVA , ZILI LI , PIETRO RUSSO
Abstract: Automated processing, enforcement and intelligent management of vehicle operation violations is disclosed. A method, that is also disclosed, includes obtaining at least one image within which is shown at least a portion of a vehicle. The method also includes receiving image data for the at least one image, and analyzing the image data to generate a violation score for each of one or more potential vehicle operation violations for the vehicle. When the violation score is in-between an upper violation threshold and a lower consideration threshold, user input is obtained that either affirms or rejects existence of a violation and then, once the user input is obtained, a violation notification is generated only when the user input affirms the existence of the violation. When the violation score is higher than the violation threshold, the violation notification is generated without the user input being obtained.
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公开(公告)号:US20220301403A1
公开(公告)日:2022-09-22
申请号:US17202818
申请日:2021-03-16
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: ALEKSEY LIPCHIN , PIETRO RUSSO , RON WILSON , KAVEH MALAKUTI
IPC: G08B13/196 , G06K9/62 , G06K9/00
Abstract: Clustering and active learning for teach-by-example, and methods therefor, are disclosed. One method includes clustering, at an at least one electronic processor: a plurality of first detections together as a first cluster based on each detection of the first detections corresponding to respective first image data being identified as potentially showing a first perceptible category of a plurality of perceptible categories; and a plurality of second detections together as a second cluster based on each detection of the second detections corresponding to respective second image data being identified as potentially showing a second perceptible category of the perceptible categories.
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公开(公告)号:US20210358250A1
公开(公告)日:2021-11-18
申请号:US15930848
申请日:2020-05-13
Applicant: Motorola Solutions, Inc.
Inventor: PETER L. VENETIANER , PIETRO RUSSO , JOHN B. PRESTON , SHERVIN SABRIPOUR
Abstract: Systems for personalized intent prediction may perform a process including receiving image data depicting the behavior of a person on approach toward a secure location, generating intent data including data representing a current trajectory of the person on the current approach, comparing the intent data with a personal statistical model for the person that includes data representing trajectories associated with historical approaches by the person toward the secure location and respective result data indicating whether the historical approach resulted in the person entering the secure location, determining, dependent on the comparing, a personalized intent score representing a likelihood that the person intends to enter the secure location on the current approach, and pre-emptively enabling, or refraining from pre-emptively enabling, entry to the secure location prior to the person reaching the secure location based on whether the personalized intent score meets or exceeds a predetermined minimum confidence threshold for enabling entry.
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7.
公开(公告)号:US20230260068A1
公开(公告)日:2023-08-17
申请号:US17651470
申请日:2022-02-17
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: PIETRO RUSSO , ZACHARY WEINGARTEN , ALEKSEY LIPCHIN , DORAN INGALLS
CPC classification number: G06Q50/265 , G06F16/583 , G06V20/54 , G06V20/625 , G06V40/172 , G06V10/82 , G08B7/06 , G06V2201/08 , G06V2201/10
Abstract: There is disclosed a method that includes analyzing, using an at least one processor, image data to generate or facilitate acquisition of violation assessment data associated with a vehicle or an owner of that associated vehicle. The method also includes receiving, at the at least one processor, input originating from a police officer indicating an intention to stop the vehicle. The method also includes making a determination, at the at least one processor, whether the violation assessment data supports affirming the stop of the vehicle as a compliant stop, or whether the violation assessment data supports disaffirming the stop of the vehicle. The method also includes transmitting a notification in respect of the stop of the vehicle to a display or speaker perceptible to the police officer. The notification informs as to compliancy or non-compliancy of the stop of the vehicle.
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公开(公告)号:US20230215230A1
公开(公告)日:2023-07-06
申请号:US17646729
申请日:2022-01-03
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: DANNY KAM , PETER L VENETIANER , PIETRO RUSSO
CPC classification number: G07C9/00309 , G07C9/27 , G07C2209/63
Abstract: A method and apparatus for controlling a passage barrier is provided herein. During operation the apparatus will determine a location of all persons authorized to enter through the barrier (e.g., a door). The apparatus will also determine the location of all persons not authorized for entry. Based on the location information, the passage barrier will remain open or closed. More particularly, based on the location information, a door, for example, may remain locked unless properly accessed by an authorized person. Additionally, based on the location information, the door may remain open for all to pass through.
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公开(公告)号:US20220198195A1
公开(公告)日:2022-06-23
申请号:US17125198
申请日:2020-12-17
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: PIETRO RUSSO , SVEN REBIEN , PETER L. VENETIANER
Abstract: Disclosed is a process for implementing an automated analytics for insuring compliance for a thermographic protocol for subjects seeking a temperature check, perhaps for entrance or access to a controlled space or facility. The automated video analytics utilize one or more cameras to detect thermography compliance violations based on whether the subject is perspiring, dehydrated, recently consumed a beverage, has exposed skin, excessive clothing, the amount and type of activity before getting screened, and/or the external and internal temperatures at the controlled facility associated with the subject. Furthermore, the automated video analytics may create a non-compliance score and/or control a timer for a non-compliance detection. Also, short and long term collected data may be analyzed for compliance to guidelines.
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公开(公告)号:US20210256281A1
公开(公告)日:2021-08-19
申请号:US16794556
申请日:2020-02-19
Applicant: Motorola Solutions, Inc.
Inventor: PATRICK HENSON , PIETRO RUSSO
Abstract: Systems for detecting liveness in image data may perform a process including receiving, from one or more image capture devices, two-dimensional image data representing two images captured simultaneously and depicting the same human person, including data representing light captured in two spectral bands, such as visible light and infrared light. The received image data may be converted to grayscale or downsampled prior to further processing. The process may include creating a two-dimensional combined image representation of the received image data and analyzing the combined image representation to detect any implied three-dimensional features using a neural network or machine learning. The process may include classifying the received image data as likely to depict a live person or a two-dimensional spoof of a live person, dependent on the analysis, and outputting a classification result indicating a likelihood that the received image data depicts a live person.
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