Disclosed is a system (102) for determining a location of an explosive device. The system (102) detects an explosive device using one or more devices (204) based on one or more nano-explosive detection sensors (206) associated with the one or more devices (204). The system (102) further identifies a type, a quantity and a signal strength associated with the explosive device. The system (102) computes a distance between the explosive device and the one or more devices (204). The system (102) determines explosive device co-ordinates based on the computed distance and device co-ordinates associated with each device (204). The system (102) receives a data packet comprising data associated with the explosive device from the one or more devices (204). The system (102) determines a location of the explosive device based on an analysis of the data packet received from the one or more devices (204).

Disclosed is a system (102) for determining a location of an explosive device. The system (102) detects an explosive device using one or more devices (204) based on one or more nano-explosive detection sensors (206) associated with the one or more devices (204). The system (102) further identifies a type, a quantity and a signal strength associated with the explosive device. The system (102) computes a distance between the explosive device and the one or more devices (204). The system (102) determines explosive device co-ordinates based on the computed distance and device co-ordinates associated with each device (204). The system (102) receives a data packet comprising data associated with the explosive device from the one or more devices (204). The system (102) determines a location of the explosive device based on an analysis of the data packet received from the one or more devices (204).

A delivery path generation system (20), which generates a delivery path for a delivery terminal to deliver packages to a plurality of destinations, includes destination information acquisition means (11), estimation means (12), and delivery path generation means (13). The destination information acquisition means (11) acquires destination information at least including information based on the behavior of consignees at the respective destinations. The estimation means (12) estimates whether or not the consignee is present based on the destination information. The delivery path generation means (13) generates a delivery path based on the estimation.

Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of sensor data from a set of sensors. Each sensor in the set of sensors is configured to sense a physical quantity. Based on the set of sensor data, the program further determines that a particular event has occurred. Based on the determination that the particular event has occurred, the program also sends a set of notifications to a set of subscribers.

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of sensor data from a set of sensors. Each sensor in the set of sensors is configured to sense a physical quantity. Based on the set of sensor data, the program further determines that a particular event has occurred. Based on the determination that the particular event has occurred, the program also sends a set of notifications to a set of subscribers.

An embodiment of the invention may include a method, computer program product and system for managing a sensor area network. An embodiment may include, in response to receiving a geofence trigger event from an Internet of Things device, determining whether to add the Internet of Things device to a sensor area network of Internet of Things devices within a geofence area based on a validation technique. An embodiment may include, in response to determining to add the Internet of Things device, updating the sensor area network with information associated with the Internet of Things device. An embodiment may include enabling sharing of information within the sensor area network between member devices of the sensor area network and the Internet of Things device.

An embodiment of the invention may include a method, computer program product and system for managing a sensor area network. An embodiment may include, in response to receiving a geofence trigger event from an Internet of Things device, determining whether to add the Internet of Things device to a sensor area network of Internet of Things devices within a geofence area based on a validation technique. An embodiment may include, in response to determining to add the Internet of Things device, updating the sensor area network with information associated with the Internet of Things device. An embodiment may include enabling sharing of information within the sensor area network between member devices of the sensor area network and the Internet of Things device.

A smart pipe segment for use in construction of a pipeline. The smart pipe segment includes a pipe body and a sensing nerve network that is associated with the pipe body and is configured to monitor a condition of the pipe segment in real-time. The sensing nerve network comprises optical nerves, electrical nerves or a combination thereof.

A system for calling attention according to the present disclosure includes: at least one sensor configured to detect environmental information; a storage device in which condition data representing a condition under which a specific incident occurs is stored; determination means for determining a possibility of an occurrence of the specific incident based on a result of the detection by the sensor and the condition data stored in the storage device; and calling attention means for calling attention to a fact that there is the possibility of the occurrence of the specific incident, in which when the determination means determines that there is the possibility of the occurrence of the specific incident, the calling attention means calls attention to the fact that there is the possibility of the occurrence of the specific incident.