Abstract: In an embodiment, a process for graph search and visualization includes receiving a query graph. The process includes calculating one or more vectors for the query graph, wherein the one or more vectors each identifies a corresponding portion of the query graph. The process includes identifying one or more graphs similar to the query graph including by comparing the calculated one or more vectors for the query graph with one or more previously-calculated vectors for a different set of graphs. The process includes outputting the identified one or more similar graphs.

Abstract: In an embodiment, a process for graph search and visualization includes receiving a query graph, and calculating one or more vectors for the query graph, where the one or more vectors each identifies a corresponding portion of the query graph. The process includes identifying one or more graphs similar to the query graph including by comparing the calculated one or more vectors for the query graph with one or more previously-calculated vectors for a different set of graphs and outputting the identified one or more similar graphs. The comparison with the previously-calculated vector(s) may be based on previously-calculated vector(s) processed by grouping the one or more vectors into at least one group of vectors, identifying a representative graph for each of the at least one group of vectors; and storing the at least one group of vectors and a respective identified representative graph.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: Facilitating secure and updated user profile information within a distributed network for facial recognition-based access control systems is disclosed. A user's signature (e.g., facial profile data) is routinely and consistently updated across the access control platform. A remote computing system maintains timely and accurate signature data between user devices and access control devices such that each device benefits from the most updated user information, facial recognition models, and spoof detection models. A user may enroll or disenroll in the access control platform via his or her own mobile device, a cloud-based server, and/or the access control device. The enrollment or disenrollment data may be automatically synchronized and updated throughout the platform. These and other benefits may improve the ease with which users and access controllers (e.g., building owners, landlords, etc.

Abstract: A physical access control (PAC) system configured to perform a two-factor authentication prior to granting access to a secure area. The PAC system includes an access point device configured to perform facial recognition on a person proximate to the access point device, and perform wireless handshake with a mobile device associated with the person prior to granting or denying entry to the secure area.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: A physical access control (PAC) system configured to perform a two-factor authentication prior to granting access to a secure area. The PAC system includes an access point device configured to perform facial recognition on a person proximate to the access point device, and perform wireless handshake with a mobile device associated with the person prior to granting or denying entry to the secure area.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: A physical access control (PAC) system configured to perform a two-factor authentication prior to granting access to a secure area. The PAC system includes an access point device configured to perform facial recognition on a person proximate to the access point device, and perform wireless handshake with a mobile device associated with the person prior to granting or denying entry to the secure area.

Abstract: A physical access control (PAC) system configured to perform a two-factor authentication prior to granting access to a secure area. The PAC system includes an access point device configured to perform facial recognition on a person proximate to the access point device, and perform wireless handshake with a mobile device associated with the person prior to granting or denying entry to the secure area.

Abstract: A physical access control (PAC) system configured to perform a two-factor authentication prior to granting access to a secure area. The PAC system includes an access point device configured to perform facial recognition on a person proximate to the access point device, and perform wireless handshake with a mobile device associated with the person prior to granting or denying entry to the secure area.

Abstract: In an embodiment, a process for graph search and visualization includes receiving a query graph, and calculating one or more vectors for the query graph, where the one or more vectors each identifies a corresponding portion of the query graph. The process includes identifying one or more graphs similar to the query graph including by comparing the calculated one or more vectors for the query graph with one or more previously-calculated vectors for a different set of graphs and outputting the identified one or more similar graphs. The comparison with the previously-calculated vector(s) may be based on previously-calculated vector(s) processed by grouping the one or more vectors into at least one group of vectors, identifying a representative graph for each of the at least one group of vectors; and storing the at least one group of vectors and a respective identified representative graph.