Tyco Fire & Security Gmbh

Honeywell International Inc.

Sensormatic Electronics Corporation

Tyco Fire Products LP

Zarlink Semiconductor Limited

Johnson Controls Fire Protection LP

Manjuprakash Rama Rao

Surajit Borah

Sreenath K Ramanna

Andrew Rynkiewicz

Clive Weston

P U Kamruddin

Rambabu Chinta

Paul B Rasband

Stewart E Hall

Amit Kulkarni

Rajkumar Palanivel

Atul Laxman Katole

Aditya Narendrakumar Vora

Douglas Beaudet

Richard Loyd Copeland

Hubert A Patterson

Mohammad Mohiuddin

Wing Kei Ho

Nancy Lee Van Nest

Timothy Joseph Relihan

Santle Camilus

Paul Brent Rasband

Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Systems and methods for identifying blockages of emergency exists in a building

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.

Location-aware provisioning system for fire alarm system and method therefor

A security system having a seamless integration wearable, portable, personal or body cameras for observant personnel, a locator sensor associated with each camera, a graphical user interface (GUI) module having a display, and a processor connected to the cameras and the locator sensor associated with each camera, and connected to the GUI module. Video from the cameras may be fed to the GUI. The video may be annotated by the processor with locations from locator sensors associated with the cameras. The display may provide a visualization of the location of each camera. The processor may incorporate an artificial intelligence module to process the video and locations, and based on results of processing the video and locations, can detect and model threats from the video and locations. An assessment of the threats, based on models of the threats, may result in alerts.

Security systems integration

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.

System and method for monitoring and suppressing fire

The present invention concerns surveillance systems that flag the potential threats automatically using intelligent systems. It can then notify or automatically alert the security personnel of impending dangers. Such a system can lower the cognitive load on the security personnel and can assist them to bring to prioritize their attention to potential threats and thereby improve the overall efficiency of the system. There could also be savings in labor cost.

Surveillance system with human behavior prediction by human action recognition

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.

Predictive theft notification

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.

Techniques for built environment representations

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.

System and method for detecting and suppressing fire using wind information

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.

System and method for detecting fire location

Systems () and methods () for selectively controlling privacy masking of image and/or video content. The methods involve: performing privacy masking operations by a privacy masking component to encode at least one first captured image or first captured video with first privacy masking features obscuring privacy sensitive areas of the first captured image or first captured video; detecting an arming of an intrusion detection system or an alarm condition; and communicating a message to the privacy masking component for overriding the privacy masking operations such that at least one second captured image or second captured video is not encoded with second privacy masking features during a certain period of time, in response to the arming of an intrusion detection system or the detection of the alarm condition.

Privacy masking video content of alarm exceptions and mask verification

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.

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Bengaluru, India

Manjuprakash Rama Rao