A sleep training device is disclosed comprising certain electronic components, audio components, light-emitting diodes (LEDs), physical switches, a capacitive touch component, or a combination thereof. The sleep training device can have a housing configured to house the electronic components, the audio components, the LEDs, the capacitive touch component, and at least part of the physical switches. The sleep training device can receive an instruction to schedule a sleep program based on a set parameter from another device in wireless communication with the sleep training device, initiate the sleep program once the set parameter is met, and disable at least one of the physical switches and the capacitive touch component when the sleep program is initiated.

A system and method for evaluating and reporting of trauma to organs of passengers in a vehicular crash in real time is provided. The systems and methods include and use one or more in-vehicle sensors, a processor, a server, and one or more non-transitory computer-readable media to analyze a crash and trauma to passengers. The systems and methods may be further configured to optimize operation of a vehicle to minimize trauma.

A streetlight asset module (SAM) is provided including at least one memory block configured to store operating configuration settings of a streetlight associated with the SAM. The SAM is configured to communicate the operating configuration settings of the streetlight to a control and monitoring system (CMS) node coupled to the streetlight. The CMS node is configured to communicate the operating configuration settings to a remote location using a radio communications network. Related streetlights and systems are also provided.

A streetlight asset module (SAM) is provided including at least one memory block configured to store operating configuration settings of a streetlight associated with the SAM. The SAM is configured to communicate the operating configuration settings of the streetlight to a control and monitoring system (CMS) node coupled to the streetlight. The CMS node is configured to communicate the operating configuration settings to a remote location using a radio communications network. Related streetlights and systems are also provided.

A server includes: a registration unit that registers identification information for identifying a detection target in a storage unit; a detection target determination unit that determines whether the detection target is shown in an image captured on or around a road, based on the identification information; an abnormal behavior determination unit that determines whether the detection target exhibits an abnormal behavior that is different from a normal behavior of the detection target, when the detection target is shown in the image; and an alert transmission unit that transmits an alert when the detection target exhibits the abnormal behavior.

A server includes: a registration unit that registers identification information for identifying a detection target in a storage unit; a detection target determination unit that determines whether the detection target is shown in an image captured on or around a road, based on the identification information; an abnormal behavior determination unit that determines whether the detection target exhibits an abnormal behavior that is different from a normal behavior of the detection target, when the detection target is shown in the image; and an alert transmission unit that transmits an alert when the detection target exhibits the abnormal behavior.

According to an aspect, an information processing device includes: a receiver configured to receive information related to a plurality of smart meters; a controller configured to determine presence or absence of an anomaly in each of the smart meters based on a reception status of the information from each of the smart meters; and an output unit configured to output information indicating presence or absence of an anomaly in each of the smart meters. The receiver receives the information from the smart meters in a cycle of a first predetermined time. The controller determines that an anomaly is occurring in a smart meter from which information has not been obtained for a second predetermined time that is longer than the first predetermined time. The second predetermined time is n times as long as the first predetermined time, and n is equal to or greater than 2.

A virtual environment system for validating executable data using authorized hash outputs is provided. In particular, the system may generate a virtual environment using a virtual environment device, where the virtual environment is logically and/or physically separated from other devices and/or environments within the network. The system may then open a specified set of executable data within the virtual environment and perform a set of commands or processes with respect to the executable data. If the system determines that the executable data is safe to run, the system may generate a hash output of the executable data and store the hash output in a database of approved executable data. In this way, the system may securely generate a repository of authorized hashes such that the system may ensure that only safely executable code is processed by the computing systems within the network environment.

A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

A management apparatus manages a target facility to which an optically readable optical information indicating a facility identification information is added. The management apparatus includes: a detection unit that detects the optical information from a first image obtained by imaging the target facility; a determination unit that determines an extraction condition for extracting an extraction image including at least a part of the target facility, on the basis of the first image; and an association unit that associates the facility identification information indicated by the optical information with the determined extraction condition.