Abstract: Techniques for secure mobile device recognition are disclosed. An IOT edge device determines, based on a network message received at the IOT edge device, that a mobile device is not recognized. The IOT edge device transmits a token request to the mobile device. In response, the IOT edge device receives an encrypted token from the mobile device. The IOT edge device transmits the encrypted token to a server. The server is configured to determine an identifier corresponding with the mobile device, based on the encrypted token. A recognition task is initiated for the mobile device, based on the determined identifier.

Abstract: Systems and methods for detecting and processing spatiotemporal data are disclosed. Signals are received from user devices, where each of the signals includes an identifier of a respective user device that transmitted the signal. A first subset of the signals is determined, where each signal in the first subset was received from a first user device. A first signal in the first subset is identified to classify as a begin signal based on a configuration associated with a first physical area, and a second signal in the first subset is identified to classify as an end signal based on the configuration associated with the first physical area. An amount of time that elapsed between receiving the begin signal and receiving the end signal is determined, and an estimated spatiotemporal measure is generated based at least in part on the determined first amount of time.

Abstract: Techniques for secure mobile device recognition are disclosed. An IOT edge device determines, based on a network message received at the IOT edge device, that a mobile device is not recognized. The IOT edge device transmits a token request to the mobile device. In response, the IOT edge device receives an encrypted token from the mobile device. The IOT edge device transmits the encrypted token to a server. The server is configured to determine an identifier corresponding with the mobile device, based on the encrypted token. A recognition task is initiated for the mobile device, based on the determined identifier.

Abstract: Systems and methods for detecting and processing spatiotemporal data are disclosed. Signals are received from user devices, where each of the signals includes an identifier of a respective user device that transmitted the signal. A first subset of the signals is determined, where each signal in the first subset was received from a first user device. A first signal in the first subset is identified to classify as a begin signal based on a configuration associated with a first physical area, and a second signal in the first subset is identified to classify as an end signal based on the configuration associated with the first physical area. An amount of time that elapsed between receiving the begin signal and receiving the end signal is determined, and an estimated spatiotemporal measure is generated based at least in part on the determined first amount of time.

Abstract: A sensor housing assembly for mounting a tire pressure sensor module within the pressurized cavity of a wheel and tire assembly includes a central housing that includes a housing bottom and defines a cavity therein. A bobbin cover is coupled to the central housing. The bobbin cover and the central housing are mountable to a mounting surface on the wheel. The bobbin cover and the central housing bottom include curved mounting surfaces that are complementary to a curvature of the mounting surface on the wheel. At least one bobbin assembly is received in the bobbin cover. The bobbin assembly is substantially straight and coupled to the central housing at a downward angle toward the wheel.