Systems and methods are provided for weapon system monitoring, historical usage analysis, and performance evaluation of a plurality of assets within a deployment location, where each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal, including a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset, and a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.

Systems, methods, and devices for locating items, people, and/or animals are provided. In accordance with some embodiments, locator devices for locating a target device are provided, the locator devices comprising: a first transceiver configured to communicate with a second transceiver in the target device; a Global Navigation Satellite System (GNSS) receiver configured to receive data from a plurality of satellites for calculating a location; a visual indicator; and a hardware processor that: receives signals from the first transceiver; calculates an estimated distance between the locator device and a target device based on the signals; controls whether the GNSS receiver is powered on or off based on the estimated distance; and causes the visual indicator indicate an estimated direction to the target device from the locator device.

Systems, methods, and devices for locating items, people, and/or animals are provided. In accordance with some embodiments, locator devices for locating a target device are provided, the locator devices comprising: a first transceiver configured to communicate with a second transceiver in the target device; a Global Navigation Satellite System (GNSS) receiver configured to receive data from a plurality of satellites for calculating a location; a visual indicator; and a hardware processor that: receives signals from the first transceiver; calculates an estimated distance between the locator device and a target device based on the signals; controls whether the GNSS receiver is powered on or off based on the estimated distance; and causes the visual indicator indicate an estimated direction to the target device from the locator device.

An authentication between a wireless charger and a device configured to receive wireless energy from the wireless charger includes establishing a wireless data channel between the wireless charger and the device. An authentication challenge signal is driven onto a transmit charging coil of the wireless charger and a receive charging coil of the device is configured to receive the authentication challenge signal. The device sends an authentication response signal to the wireless charger based at least in part on the authentication challenge signal.

An authentication between a wireless charger and a device configured to receive wireless energy from the wireless charger includes establishing a wireless data channel between the wireless charger and the device. An authentication challenge signal is driven onto a transmit charging coil of the wireless charger and a receive charging coil of the device is configured to receive the authentication challenge signal. The device sends an authentication response signal to the wireless charger based at least in part on the authentication challenge signal.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

System and method for verification and/or reconciliation of electronic transactions, such as for example, toll transactions or other purchase transactions. A vehicle utilizes an onboard communication device, such as a mobile phone, to locate virtual tolling points using GPS location, and then to communicate to an electronic tolling service provider that the vehicle has passed through the virtual tolling point. In addition, roadside equipment may be used to capture photo/video of the vehicle as it passes the virtual tolling point. The GPS-based toll transaction data is used in conjunction with the photo-based toll transaction data to verify a proper toll transaction, and optionally to reconcile between missing and/or inconsistent GPS-based and photo-based toll transaction data.

System and method for verification and/or reconciliation of electronic transactions, such as for example, toll transactions or other purchase transactions. A vehicle utilizes an onboard communication device, such as a mobile phone, to locate virtual tolling points using GPS location, and then to communicate to an electronic tolling service provider that the vehicle has passed through the virtual tolling point. In addition, roadside equipment may be used to capture photo/video of the vehicle as it passes the virtual tolling point. The GPS-based toll transaction data is used in conjunction with the photo-based toll transaction data to verify a proper toll transaction, and optionally to reconcile between missing and/or inconsistent GPS-based and photo-based toll transaction data.