A security system including a sensor communication interface configured to communicate with a plurality of sensors, an output interface, and at least one processor in communication with the communication interface. The at least one processor is configured to: receive, via the sensor communication interface, sensor data from one or more of the plurality of sensors; determine, from a plurality of tiers, a respective tier associated with the sensor data; and determine, based on the sensor data and the respective tier, whether to change a state of the security system. The at least one processor is further configured to: in response to determining to change the state of the security system, change the state of the security system; and determine, based on the changed state of the security system, whether to generate an output via the output interface.

An aspiration smoke detection system for detecting the presence of a fire within a region of interest. The aspiration smoke detection system includes a smoke detection unit for detecting the presence of smoke particles suspended in air; and one or more local sensors located remotely from the smoke detection unit for measuring a property of air from the region of interest that is drawn into the aspiration smoke detection system. An inlet piece includes a sensor for use with the aspiration smoke detection system is also provided. A method of detecting a fire using the aspiration smoke detection system and a method of locating a fire using the aspiration smoke detection system are also provided.

A personal safety management system (100) comprising at least one portable communication device (200) communicatively connected to a wireless communication network (400); and a central computing device (500) communicatively connected to the wireless communication network (400). The at least one portable communication device (200) is configured to enable the activation of an alarm condition by a user (700) and transmitting data on the activation of the alarm condition to the central computing device (500). The central computing device (500) is configured to receive the data on the activation of the alarm condition from the at least one portable communication device (200). Furthermore, the central computing device (500) is configured to activate the alarm condition at the end of a predetermined time delay after the activation of a first operating element (210) on the communication device (200). In one embodiment, the portable communication device comprises a second operating element (220) and is configured to input, from the second operating element (220), extension data indicating the extension of the predetermined delay, and to transmit the extension data to the central computing device (500); and the central computing device (500) is configured to extend the predetermined delay based on the extension data.

A safety circuit for a Personal Alert Safety System (PASS) device includes a safety logic circuit and an alarm circuit. The safety logic circuit is communicably coupled to the PASS device. The safety logic circuit includes a timer configured to determine a time elapsed since the timer has been last reset. The safety logic circuit is configured to switch from an off state to an on state upon receiving an activation signal from the PASS device and reset the timer upon switching to the on state, generate a trigger signal in response to the timer exceeding a time threshold, and reset the timer upon receiving a reset signal from the PASS device before the timer exceeds the time threshold. The alarm circuit is communicably coupled to the safety logic circuit and configured to generate an alarm signal upon receiving the trigger signal from the safety logic circuit.

A method includes obtaining historical event data for events detected over a past period of time by sensors within a property, receiving a set of current event data for one or more events detected by one or more of the sensors within the property, determining that the set of current event data matches a pattern of events indicated by the historical event data, generating, based on the pattern of events, a confidence score for the set of current event data, wherein the confidence scores reflects a confidence that a person is not within the property, determining that the confidence score satisfies a confidence threshold associated with an action to be performed when a person is not within the property, and triggering execution of the action.

A sound-enabled detection system responds to a wakeup sound, and notifies a central server. Based on which wakeup sound is detected; the system's configuration is modified accordingly. More particularly, at least one sensor in the system has its wakeup sound reconfigured to “wake up” upon detection of a second wakeup sound when the first wakeup sound is detected.

Methods, and systems including computer programs encoded on a computer storage medium, for training a detection model for surveillance devices using semi-supervised learning. In one aspect, the methods include receiving imaging data collected by a camera of a scene within a field of view of the camera. Annotated training data is generated from the imaging data and one or more detection models are trained using the annotated training data. Based on a set of performance parameters, an optimized detection model is selected of the one or more detection models, and the optimized detection model is provided to the camera.

An energy storage system includes a fire suppression system controller, a fire extinguishing apparatus, a first sensing unit configured to detect a temperature and smoke of the energy storage system, a second sensing unit configured to detect a thermal runaway parameter, an energy storage system controller, and an energy storage unit. When the thermal runaway parameter output by the second sensing unit meets a thermal runaway condition, the energy storage system controller sends alarm information to the fire suppression system controller, to stop energy charging or energy supply of the energy storage unit. When receiving the alarm information sent by the first sensing unit and/or the energy storage system controller, the fire suppression system controller indicates the fire extinguishing apparatus to perform a fire extinguishing operation.

A computer-implemented method and corresponding output generator for handling alarm events, generated by a subject/patient monitoring device, and generating clinician-perceptible outputs indicative of the alarm events. Alarm events are divided into non-actionable and actionable alarm events. Information on non-actionable alarm events is stored. Stored information on non-actionable alarm events is contained in a clinician-perceptible output generated in response to detecting an actionable alarm event.

An image in a monitor region (14) image-captured by a monitor camera (16), input a multi-layer-type neural network of a determination device (10) to determine whether it is a fire or a non-fire state, and in the case when it is determined as a fire state, flame warning is given from a receiver (12). In a recording device of the determination device, motion images in a monitor region (14) captured by a monitor camera are recorded. When a fire decision operation is carried out in the receiver, a learning control part of the determination device reads out the recorded image at that time from the recording device, and inputs the multi-layer-type neural network as a fire image so as to subject it to learning by back propagation. In a case when a recovery operation is carried out, without any fire decision operation being carried out in the receiver, non-fire images are inputted to the multi-layer-type neural network so as to be subjected to learning.