A security system includes a security system controller and a plurality of security sensors that are operably coupled with the security system controller. The security system includes a plurality of configuration settings that define when particular alarms are to be issued by the security system based at least in part on events that are detected by the security sensors. The security system controller receives each of the events detected by the security sensors. The security system controller stores event data that includes an event type, a time value indicating when the event occurred, and an identifier of the security sensor that detected the event. The security system controller analyzes the stored event data to identify and output one or more changes to one or more of the plurality of configuration settings in order to reduce false alarms issued by a security system.

The present application describes a system and method for extending a range of an image detection and classification system that is associated with various image capture devices. The range of the image detection and classification system is extended using one or more of an optical zoom on an area of interest, a digital zoom on the area of interest and a crop operation on the area of interest.

A system and method for selecting an algorithm for monitoring alarm conditions based on a detector orientation and position. A method may include determining a position and orientation of a smoke detector, selecting an algorithm for performing detection of an alarm condition, and operating the smoke detector using the selected algorithm.

A proximity warning system including cameras positioned on a machine, processors, and one or more memory devices including instructions for execution by the processors. The system includes instructions to receive, from the cameras, image data depicting an object within a field of view of the cameras. The system includes instructions to derive a first distance between the object and the machine based on the image data and an alarm is triggered when the first distance is less than a first threshold distance. The system can include instructions to receive a request to snooze the alarm and discontinue the alarm. Additional image data can be received from the cameras and a second distance between the object and the machine is derived based on the additional image data. The system includes instructions to cancel the snooze and retrigger the alarm when the second distance is less than a second threshold distance.

A method and system for training a fall detection classifier using subject-specific movement data. A subject sets a preferred non-fall detection rate. Movement data responsive to a subject's movements during everyday activities are obtained over a predetermined data collection period. For each detected event in the movement data, values for one or more parameters that may (together or individually) indicate a fall are obtained. The obtained values are used to generate a subject-specific non-fall detection rate function. This non-fall detection rate function is used to derive a threshold value, in reference to the subject-set preferred non-fall detection rate, to distinguish fall events from non-fall events.

A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

An electronic device for identifying and tracking at least one target, including: a receiver module configured to receive images from a network of image sensors; a determination module configured to determine visual signatures of a respective target from the received images, each visual signature being determined from a respective image including a representation of the target, each visual signature being in the form of a vector in multi-dimensional space; a first filtering module configured to filter the visual signatures; a computation module configured to compute a reference visual signature, in multi-dimensional space; a detection module configured to detect an appearance of the target, and a second filtering module.

A method for checking the plausibility of accident situations involving a two-wheeled vehicle, a device for carrying out this method, and a two-wheeled vehicle comprising a device of this kind. In the method, it is checked, i.e., reviewed, whether it is plausible to output the accident information, in order to avoid unnecessary or even incorrect calls for help.

The present disclosure relates to techniques for detecting cyber-faults in industrial assets. Such techniques may include obtaining an input dataset from a plurality of nodes of industrial assets and predicting fault nodes in the plurality of nodes by inputting the input dataset to a one-class classifier. The one-class classifier may be trained on normal operation data obtained during normal operations of the industrial assets. Further, the cyber-fault detection techniques may include computing a confidence level of cyber fault detection for the input dataset using the one-class classifier and adjusting decision thresholds based on the confidence level for categorizing the input dataset as normal or including cyber-faults. The predicted fault nodes and the adjusted decision thresholds may be used for detecting cyber-faults in the plurality of nodes of the industrial assets.

A device, process and computer program based process provide a suggestion for at least one adapted alarm condition for a user in a medical system. The device includes a processing device configured to generate at least one adapted alarm condition of an alarm concerning at least one parameter triggering the alarm. The alarm condition is provided to offer to the user a possibility of adapting the alarm condition when an alarm frequency exceeds a limit value. The device further includes an interface, which is configured to provide the suggestion for the at least one adapted alarm condition of the alarm. The process includes the generation of at least one adapted alarm condition of an alarm concerning at least one parameter triggering the alarm. This adapted alarm condition is provided to offer the user the possibility of adapting the alarm condition when an alarm frequency exceeds a limit value.