A system and a method for presence detection and notification. The system includes a a first unit including a first sensor and a first visual alert, and a second unit including a second sensor and a second visual alert. The first unit is constructed to send a signal to the second unit to trigger the second visual alert, when the first sensor detects a presence. The second unit is constructed to send a signal to the first unit to trigger the first visual alert, when the second sensor detects a presence. The first and second visual alerts are constructed to be triggered independently of one another.

A modular and decentralized architecture for building illuminated means of egress from a device level to a building system level wherein a plurality of communicatively networked building egress devices with processing capability coupled to sensing and output devices and governed by an artificial intelligence (AI) engine establish local device self-awareness that enhances building life safety performance while providing utility to other building disciplines.

A peer-to-peer system for providing egress guidance. Each of a plurality of egress advisement devices can receive an indication of an emergency in a building and user presence information, transmit to a cloud data store a request for one or more egress plans, receive from the cloud data store a subset of the egress plans that are identified by matching a location identifier for each of the subset of the plans with the location information of the egress advisement device, locally select one of the subset of the plans that is customized for a location of the egress advisement device, a current location of users in the building in proximity to the egress advisement device, and a location of the emergency, and output the selected plan to guide one or more of the users in proximity to the egress advisement device to exit the building.

Aspects of the present disclosure include methods, apparatus, and systems for mass notification including receiving the message from an alarm notification device via a link and causing the projector to project the message on a surface using the light patterns.

A disclosure and claims to systems and methods for allowing rapid detection and display of an emergency condition using a plurality of specially-constructed multifunction sensors and display units, which allow building evacuation plans to be evaluated, modified, and transmitted to building occupants.

The invention relates to a safety corridor arrangement for use in emergency situations, including an activation means, an operation means, associated with an activation centre, and a safety corridor suitable to guide or direct a person on a particular pathway. The activation centre, through activation of the activation means can cause operation of the operation means, and the operation means creates the safety corridor to guide a person along the safety corridor towards an exit. The invention also relates to a point of exit arrangement, and methods of use.

A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.

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.

This invention relates to a method for users localization and guidance of the movements of the users through a building adapted in relation to an event, along paths leading to one or more given target places, with connected objects (T, T′) in communication link with a remote resource server which is a control server (S) accessible by a communication network, comprising the following steps: on the basis of a digital model of the building (BIM, CIM), nodes (N) and edges (A) are computed; a user waiting list is assigned to each passage node; a Directed Acyclic Graph (DAG) of movement toward the target places (“E”, “S”, “W”) is automatically computed with the nodes and the edges (A); the actual location of an event is detected; the actual position of each user located in the building is computed; as a function of the profile of the user, of the user's location in real time in the building causing the inaccessibility of certain nodes of the Directed Acyclic Graph (DAG), the so-called ‘updated’ Directed Acyclic Graph (DAG′) of moving toward the target places; and a sub-graph DODAG′ are computed.

A system for generating emergency egress advisement for a building having at least one first computing device that determines a floormap and generates initial emergency egress advisement for the building and at least one second computing device that improves generation of initial emergency egress advisement. The second computing device can receive the initial emergency egress advisement, iteratively train a model for the building by correlating the initial emergency egress advisement to corresponding information about intended egress outcomes for different emergency situations in the building across one or more model layers using one or more machine learning algorithms, predict, based on real-time information about the emergency and historic user presence information, presence and location information of users in the building, generate egress routes that can be used by the users, and update, based on a trained model and the generated egress routes, the initial emergency egress advisement for the building.