METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AUTOMATED PROCESSING, ENFORCEMENT AND INTELLIGENT MANAGEMENT OF VEHICLE OPERATION VIOLATIONS

    公开(公告)号:US20210241405A1

    公开(公告)日:2021-08-05

    申请号:US16782770

    申请日:2020-02-05

    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.

    CLUSTERING AND ACTIVE LEARNING FOR TEACH-BY-EXAMPLE

    公开(公告)号:US20220301403A1

    公开(公告)日:2022-09-22

    申请号:US17202818

    申请日:2021-03-16

    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.

    SYSTEMS AND METHODS FOR PERSONALIZED INTENT PREDICTION

    公开(公告)号:US20210358250A1

    公开(公告)日:2021-11-18

    申请号:US15930848

    申请日:2020-05-13

    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.

    METHOD AND APPARATUS FOR CONTROLLING A PASSAGE BARRIER

    公开(公告)号:US20230215230A1

    公开(公告)日:2023-07-06

    申请号:US17646729

    申请日:2022-01-03

    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.

    SYSTEM AND METHOD FOR VIDEO ANALYTICS FOR THERMOGRAPHY PROCEDURE COMPLIANCE

    公开(公告)号:US20220198195A1

    公开(公告)日:2022-06-23

    申请号:US17125198

    申请日:2020-12-17

    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.

    SYSTEMS AND METHODS FOR DETECTING LIVENESS IN CAPTURED IMAGE DATA

    公开(公告)号:US20210256281A1

    公开(公告)日:2021-08-19

    申请号:US16794556

    申请日:2020-02-19

    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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