Systems and processes for providing secure client controlled and managed exchange of data between parties

    公开(公告)号:US11610012B1

    公开(公告)日:2023-03-21

    申请号:US17104255

    申请日:2020-11-25

    申请人: GOBEEP, INC.

    IPC分类号: G06F21/62 H04L9/40 G06F16/27

    摘要: In various embodiments, once the client registers onto the system, a third party (a “requestor”) may transmit a request to the client for the client to provide the requestor with access to the client data. In at least one embodiment, a requestor may be an entity or person that desires to utilize client data for the requestor's business purposes. In one embodiment, upon registration with the application, the system generates and assigns the requestor a requestor key. In one or more embodiments, the system transmits the requestor key along with each requestor request. In some embodiments, the client may accept or reject the requestor's request. In many embodiments, if the client accepts the requestor's request, the system grants the requestor access to the client data.

    Systems, methods, and devices for communication between traffic controller systems and mobile transmitters and receivers

    公开(公告)号:US11594127B1

    公开(公告)日:2023-02-28

    申请号:US17101902

    申请日:2020-11-23

    摘要: Systems, methods, and devices are disclosed for improving traffic safety and efficiency. The system includes various signal transmitters and receivers positioned throughout roadways, within automobiles, in smartphones, or supported by a cellular network backbone, for distributing traffic related information to users and traffic controller equipment. Embodiments of the present disclosure allow for vehicles and/or pedestrians to initiate a dual-transmission of cellular and RF signals for changing a traffic light state, where the first signal received at a traffic intersection controller unit is processed for changing the traffic light state (e.g., changing a light from red to green on-demand). Other embodiments of the present disclosure allow for users to receive visible and/or audible traffic related alerts on mobile devices, where the alerts are based on data shared between nearby drivers, pedestrians, and the traffic controlling equipment.

    Method and system for optimizing electronic map data and determining real property development yield

    公开(公告)号:US11526537B2

    公开(公告)日:2022-12-13

    申请号:US16952895

    申请日:2020-11-19

    摘要: Disclosed is a system method for aligning a plurality of electronic map data, which includes the steps of obtaining an electronic map file, defining an area of interest on the electronic map file, selecting a predetermined datum and providing the electronic map file in the predetermined datum. Also disclosed is a land yield method including the steps of obtaining an electronic map, storing the electronic map in a computer readable medium, defining an area of interest on the electronic map, referring to a database to determine whether the database contains at least one restriction value, referring to a remote database to determine whether the remote database contains an additional restriction value, the additional restriction value being distinct from the at least one restriction value, combining restriction values, and determining a total value of the parcel of land based on the combined restriction values.

    Two-stage deep learning framework for detecting the condition of rail car coupler systems

    公开(公告)号:US11507779B1

    公开(公告)日:2022-11-22

    申请号:US16938102

    申请日:2020-07-24

    IPC分类号: G06K9/62 G06N20/20 G06V10/25

    摘要: Systems, devices, media, and methods are presented for training a predictive model to detect objects in digital images, such as detecting whether a cotter key is present or absent in a digital photograph of a rail car coupler. The training system includes curating a plurality of training datasets, each including a number of raw images, together with a number of adjusted, augmented, and duplicate images. The predictive model includes a localization algorithm and an ensemble of models for classification. The localization algorithm is a deep convolutional neural network (CNN) which identifies a region of interest. One of more of the deep CNN classification models generates a plurality of candidate regions associated with each region of interest, thereby generating a large number of additional regions useful for training. In use, the trained predictive model is part of a detection and notification system that processes new images from the field and broadcasts a notice when an anomaly is detected.

    Systems and methods for enhanced hash transforms

    公开(公告)号:US11496315B1

    公开(公告)日:2022-11-08

    申请号:US16406978

    申请日:2019-05-08

    申请人: T Stamp Inc.

    摘要: Systems and methods for enhanced hash transforms are disclosed. In particular embodiments, biometric data is concatenated with non-biometric data for generating a fixed-sized vector, and furthermore performing various permutations and projections on the vector. The resulting vector may be stored in a registry, and a corresponding key may be generated and provided to the user associated with the biometric data. The hash transformation may be a lossy process, such that the resulting hash includes less bytes than the initial biometric data, and a hash reversal fails to generate an exact copy of the original biometric data.