Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

Abstract: A fire alarm system design layout map is used in conjunction with a mobile computing device, an indoor tracking system and a connected services system to automate the process of determining the intended slave address for each slave device, assigning the slave address to the slave device, and verifying the assignment of the slave address to the slave device. The mobile computing device sends the location of a slave device to the connected services system, which maps the location to its corresponding position on the layout map and returns the intended slave address for that slave device. The slave address is assigned wirelessly to the slave device. The assignment of the slave address to the slave device is then verified by the connected services system.

Abstract: A fire detection and suppression system includes a system controller for determining an initial location of the fire based on fire location information from fire detectors, and then the system controller determines a final location of the fire based on fire location information taking into account spatial and/or angular relationships between the fire detectors and the initial location. The system controller determines a location of the fire and activates monitors to deploy suppressant based on a distance between each of the monitors and the location of the fire. The system controller controls the monitors based on how the suppressant is deployed onto the fire.

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

Abstract: A building system including one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a statistical model based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the statistical model, wherein the statistical model outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms, wherein the statistical model implements a many to many mapping between the particular plurality of acronyms and a plurality of target tags.

Abstract: Predictive theft notifications are used to coordinate appropriate responses to persons who are likely to commit acts of theft. Image data is generated and processed in a computer processing device to recognize the presence of a facial image comprising a face of a person. An analysis is performed of data representative of the facial image to determine a biometric match relative to one or more biometric models of facial images stored in a database. Based on this analysis, at least one predictive notification is generated with regard to a future potential theft of merchandise from the secured facility. The predictive notification is generated based upon a determination of the biometric match.

Abstract: Described are techniques for indoor mapping and navigation. A reference mobile device including sensors to capture range, depth and position data and processes such data. The reference mobile device further includes a processor that is configured to process the captured data to generate a 2D or 3D mapping of localization information of the device that is rendered on a display unit, execute an object recognition to identify types of installed devices of interest of interest in a part of the 2D or 3D device mapping, integrate the 3D device mapping in the built environment to objects in the environment through capturing point cloud data along with 2D image or video frame data of the build environment.

Abstract: A fire detection and suppression system correcting fire detection based on wind. Wind may affect both the apparent position of the fire detected by the fire detectors and also the suppressant jet being delivered by a monitor. Typically wind results in shifting of estimated fire location away from the real fire in the direction of wind. Similarly the suppressant jet will also be diverted in the same direction. The system comprises fire detectors for acquiring two-dimensional fire location information for a fire. A wind sensor acquires wind information, often in region of the fire. A system controller then compensates the three-dimensional fire location information based on the wind information. Additionally, the position of fog/jet monitors is preferably compensated based on the wind information. The jet pressure setting is also ideally determined based on the wind.

Abstract: Predictive theft notifications are used to coordinate appropriate responses to persons who are likely to commit acts of theft. Image data is generated and processed in a computer processing device to recognize the presence of a facial image comprising a face of a person. An analysis is performed of data representative of the facial image to determine a biometric match relative to one or more biometric models of facial images stored in a database. Based on this analysis, at least one predictive notification is generated with regard to a future potential theft of merchandise from the secured facility. The predictive notification is generated based upon a determination of the biometric match.

Abstract: A fire detection system includes at least two fire detectors having a partially overlapping view of a fire. The at least two fire detectors are configured to acquire fire cluster information related to the fire. A validation and pairing module pairs fire clusters detected by the at least two fire detectors for the fire. The validation and pairing module is configured to validate the paired fire clusters according to a validation process that ensures that the pair corresponds to a fire. A triangulation module determines a three-dimensional fire location for the fire based on the fire cluster information related to the validated fire cluster pairs.

Abstract: A fire alarm system design layout map is used in conjunction with a mobile computing device, an indoor tracking system and a connected services system to automate the process of determining the intended slave address for each slave device, assigning the slave address to the slave device, and verifying the assignment of the slave address to the slave device. The mobile computing device sends the location of a slave device to the connected services system, which maps the location to its corresponding position on the layout map and returns the intended slave address for that slave device. The slave address is assigned wirelessly to the slave device. The assignment of the slave address to the slave device is then verified by the connected services system.

Abstract: Described are techniques for indoor mapping and navigation. A reference mobile device including sensors to capture range, depth and position data and processes such data. The reference mobile device further includes a processor that is configured to process the captured data to generate a 2D or 3D mapping of localization information of the device that is rendered on a display unit, execute an object recognition to identify types of installed devices of interest of interest in a part of the 2D or 3D device mapping, integrate the 3D device mapping in the built environment to objects in the environment through capturing point cloud data along with 2D image or video frame data of the build environment.

Abstract: Described are techniques for indoor mapping and navigation. A reference mobile device including sensors to capture range, depth and position data and processes such data. The reference mobile device further includes a processor that is configured to process the captured data to generate a 2D or 3D mapping of localization information of the device that is rendered on a display unit, execute an object recognition to identify types of installed devices of interest of interest in a part of the 2D or 3D device mapping, integrate the 3D device mapping in the built environment to objects in the environment through capturing point cloud data along with 2D image or video frame data of the build environment.

Abstract: A fire detection and suppression system correcting fire detection based on wind. Wind may affect both the apparent position of the fire detected by the fire detectors and also the suppressant jet being delivered by a monitor. Typically wind results in shifting of estimated fire location away from the real fire in the direction of wind. Similarly the suppressant jet will also be diverted in the same direction. The system comprises fire detectors for acquiring two-dimensional fire location information for a fire. A wind sensor acquires wind information, often in region of the fire. A system controller then compensates the three-dimensional fire location information based on the wind information. Additionally, the position of fog/jet monitors is preferably compensated based on the wind information. The jet pressure setting is also ideally determined based on the wind.

Abstract: A fire detection system includes at least two fire detectors having a partially overlapping view of a fire. The at least two fire detectors are configured to acquire fire cluster information related to the fire. A validation and pairing module pairs fire clusters detected by the at least two fire detectors for the fire. The validation and pairing module is configured to validate the paired fire clusters according to a validation process that ensures that the pair corresponds to a fire. A triangulation module determines a three-dimensional fire location for the fire based on the fire cluster information related to the validated fire cluster pairs.

Abstract: A fire detection and suppression system correcting fire detection based on wind. Wind may affect both the apparent position of the fire detected by the fire detectors and also the suppressant jet being delivered by a monitor. Typically wind results in shifting of estimated fire location away from the real fire in the direction of wind. Similarly, the suppressant jet will also be diverted in the same direction. The system comprises fire detectors for acquiring two-dimensional fire location information for a fire. A wind sensor acquires wind information, often in region of the fire. A system controller then compensates the three-dimensional fire location information based on the wind information. Additionally, the position of fog/jet monitors is preferably compensated based on the wind information. The jet pressure setting is also ideally determined based on the wind.

Abstract: A fire detection system includes at least two fire detectors having a partially overlapping view of a fire. The at least two fire detectors are configured to acquire fire cluster information related to the fire. A validation and pairing module pairs fire clusters detected by the at least two fire detectors for the fire. The validation and pairing module is configured to validate the paired fire clusters according to a validation process that ensures that the pair corresponds to a fire. A triangulation module determines a three-dimensional fire location for the fire based on the fire cluster information related to the validated fire cluster pairs.

Abstract: Described are techniques for indoor mapping and navigation. A reference mobile device including sensors to capture range, depth and position data and processes such data. The reference mobile device further includes a processor that is configured to process the captured data to generate a 2D or 3D mapping of localization information of the device that is rendered on a display unit, execute an object recognition to identify types of installed devices of interest of interest in a part of the 2D or 3D device mapping, integrate the 3D device mapping in the built environment to objects in the environment through capturing point cloud data along with 2D image or video frame data of the build environment.

Abstract: Processing system and method for biometrics identification uses a plurality of biometrics capture devices and one or more network servers to provide cloud based biometric processing services. One or more gateway computers regulate data traffic as between the one or more servers and the biometric capture devices. The components of the system work cooperatively to reduce system bandwidth requirements and reduce a processing load upon various system components. The components are responsive to processing requests which dynamically selectively specify constituent steps in a biometric recognition process which are to be performed by each of the components.