Abstract: The present invention describes a system and method for surveillance cameras that maintain proper mapping of a mapped region of interest with an imaged region of interest based on feedback received regarding the current orientation of a surveillance camera. The system or method first determines the location of the imaged region of interest within the surveillance camera's imaged current field of view based on mechanical or imaged feedback, or a combination of both. The system or method then remaps the mapped region of interest within the surveillance camera's imaged current field of view such that the mapped region of interest is coextensive with the imaged region of interest.

Abstract: An exemplary electromagnetic coupling device includes an electromagnet and a vane member that is selectively magnetically coupled with the electromagnet. A non-magnetic slider layer is supported on one of the electromagnet or the vane member such that the slider layer is between the electromagnet and the vane member. The slider layer maintains a spacing between the electromagnet and the vane member. In a disclosed example, the electromagnetic coupling device is used for coupling an elevator car door to a hoistway door for moving the doors in unison between open and closed positions.

Abstract: An elevator door assembly (20) includes an electromagnet (30) use as part of a door coupler for coupling elevator car doors (24) to elevator hoistway doors (26). A disclosed example includes an electromagnet core (40) with a gap (50) in one of four sides of the core. The gap (50) directs and concentrates magnetic flux of the electromagnet (30) to concentrate an attractive force for coupling the electromagnet (30) with a vane (32). Disclosed examples includes unique geometric and dimensional relationships to achieve a desired goodness factor.

Abstract: A video recognition system detects the presence of fire based on video data provided by one or more video detectors, but suppresses the triggering of an alarm in situations based on the selection of acceptable regions and application of rules associated with each acceptable region. A user defines acceptable regions within the field of view of the video detector and associates with each acceptable region a rule. During processing of video data associated with the field of view, video metrics are calculated and analyzed to detect the presence of fire (e.g., flame or smoke). Prior to triggering an alarm, regions identified as indicative of fire are compared with the user-defined acceptable regions. If there is overlap between the two regions, the rule associated with the acceptable region is applied to determine whether the alarm should be suppressed or triggered.

Abstract: A video-based fire detection system receives video data comprised of a plurality of individual frames, and determines based on the video data the ability of the system to detect the presence of fire. The system includes a video recognition system connectable to receive the video data and to calculate one or more background features associated with the video data. Based on the calculated background features, the video recognitions system assesses the ability of the video-based fire detection system to detect the presence of fire. The system includes one or more outputs operably connectable to communicate the results of the assessment made by the video recognitions system.

Abstract: A video recognition system detects the presence of fire based on video data provided by one or more video detectors. The video recognition system divides each individual frame of video data into a plurality of frame elements and calculates with respect to each frame element a structural feature that the algorithm uses to identify a core region of potential fire. The video recognition system defines a region surrounding the core region and calculates with respect to each frame element within the surrounding region a temporal feature. Based on the calculated temporal feature, the video recognition system associates a representative temporal value with the core region. Based on the structural and temporal features associated with the core region, video recognition system determines whether the video data indicates the presence of fire.

Abstract: An electromagnetic coupling device includes a vane member and an electromagnet. The electromagnet includes a core having a plurality of poles comprising at least four poles. An electrically conductive winding has a first portion surrounding a first one of the poles and a second portion surrounding a second one of the poles. The winding is selectively energized for selectively magnetically coupling the electromagnet and the vane member such that the vane member and the electromagnet are movable together in a desired direction.

Abstract: A method for detecting flame and smoke using spatial analysis of video input (40) provided by a video detector. The video input (40) consists of a number of individual frames, wherein analysis is performed on each individual frame to detect and outline regions that may contain smoke or flame (42). Based on the defined outline or boundary of each detected region, spatial features associated with the region are extracted (52), such as perimeter/area and surface area/volume. The extracted spatial features are related to one another (54) to determine the likelihood that the region contains smoke or flame. Extracted spatial features may be related to one another using a power law relationship that provides an indication of the turbulence associated with a bounded region, wherein turbulence is a characteristic of both flame and smoke.

Abstract: An assembly (20) for controlling movement of an automatically moveable door panel (22) includes a sensor (30, 32, 34) positioned on at least one of a door panel (22) or a door frame member (24, 26). The sensitive portion provides an indication of when an object is in contact with or in very close proximity to a sensitive portion. A sensitive portion is established over an area of the door or door frame member at which an object may become caught during automated door movement. A disclosed example includes using an electromechanical film as a sensor so that the sensitive portion is responsive to pressure applied by the object on the sensitive portion. Another disclosed example includes a field effect sensor that generates an electric field that is at least partially interrupted when an object contacts or comes in very close proximity to the sensitive portion.

Abstract: An elevator control system (18) provides elevator dispatch and door control based on passenger data received from a video processing device (12). The video processing device (12) includes a video processor (14) connected to receive video input from at least one video camera (10) and memory (16). The video processor (14) anonymously monitors passengers using color index analysis of each passenger. Based on the monitored position of each passenger, video process (14) calculates passenger data parameters such as location, direction, speed and estimated time of arrival at an elevator door, and provides one or more of the passenger data parameters to elevator control system (18). Based in part on the passenger data received, elevator controller (18) provides elevator dispatch, elevator door control, and security functions.

Abstract: A closed-loop system employs video analytic outputs in a feedback loop to control the operation of a video-based fire detection system. In particular, video data captured by a video detector is analyzed by a video analytic system to generate outputs identifying regions indicative of fire. These outputs are employed as feedback in a closed-loop control system to orient the camera such that field of the view of the camera is modified to improve the ability of the video analytic system to verify or confirm the presence of fire within a region identified as indicative of fire. In addition, video analytic system may generate outputs identifying the delivery location of a fire suppressant. These outputs are employed as feedback in a closed-loop control system to orient the delivery of suppressant to extinguish the fire.

Abstract: An exemplary magnetic coupling device (30) useful for coupling elevator doors includes a core (40) having an exterior surface. An active portion (48) of the surface is configured to direct a magnetic flux associated with the core in a desired direction for facilitating elevator door coupling. An interruption (80) in the exterior surface near the active portion (48) is configured to establish a relatively high magnetic saturation in the core in a vicinity of the interruption (80).

Abstract: An elevator includes a car follower associated with each of a pair of guide rails, and carrying electromagnets which are spaced from electromagnets on an elevator car. The electromagnets on the car and car follower create a repulsive force tending to center the car between the car follower electromagnets associated with the two guide rails. Preferably, the car follower electromagnets are interconnected into a single car follower such that they move together.

Abstract: An elevator control system (24) provides elevator dispatch and door control based on passenger data received from a video monitoring system. The video monitoring system includes a video processor (16) connected to receive video input from at least one video camera (12). The video processor (16) tracks objects located within the field of view of the video camera, and calculates passenger data parameters associated with each tracked object. The elevator controller (24) provides elevator dispatch (26), door control (28), and security functions (30) based in part on passenger data provided by the video processor (16). The security functions may also be based in part on data from access control systems (14).

Abstract: An alarm filter (22) for use in a security system (14) to reduce the occurrence of nuisance alarms receives sensor signals (S1-Sn, Sv) from a plurality of sensors (18, 20) included in the security system (14). The alarm filter (22) produces an opinion output as a function of the sensor signals and selectively modifies the sensor signals as a function of the opinion output to produce verified sensor signals (S1?-Sn?).

Abstract: A video recognition system detects the presence of fire based on video data provided by one or more video detectors, but suppresses the triggering of an alarm in situations based on the selection of acceptable regions and application of rules associated with each acceptable region. A user defines acceptable regions within the field of view of the video detector and associates with each acceptable region a rule. During processing of video data associated with the field of view, video metrics are calculated and analyzed to detect the presence of fire (e.g., flame or smoke). Prior to triggering an alarm, regions identified as indicative of fire are compared with the user-defined acceptable regions. If there is overlap between the two regions, the rule associated with the acceptable region is applied to determine whether the alarm should be suppressed or triggered.

Abstract: A video recognition system detects the presence of fire based on video data provided by one or more video detectors. The video recognition system divides each individual frame of video data into a plurality of frame elements and calculates with respect to each frame element a structural feature that the algorithm uses to identify a core region of potential fire. The video recognition system defines a region surrounding the core region and calculates with respect to each frame element within the surrounding region a temporal feature. Based on the calculated temporal feature, the video recognition system associates a representative temporal value with the core region. Based on the structural and temporal features associated with the core region, video recognition system determines whether the video data indicates the presence of fire.

Abstract: A video recognition system detects the presence of fire based on video data provided by one or more video detectors. The video recognition system is operable to calculate a first flicker feature with respect to a first set of frame data and a second flicker feature with respect to a second set of frame data. The video recognition system combines the first flicker feature and the second flicker feature to generate an accumulated flicker feature. The video recognition system defines, based on the accumulated flicker feature, a flicker mask that represents a dynamic region of the fire. Based on the defined flicker mask, the video recognition system determines whether the video data indicates the presence of fire.

Abstract: A video-based fire detection system receives video data comprised of a plurality of individual frames, and determines based on the video data the ability of the system to detect the presence of fire. The system includes a video recognition system connectable to receive the video data and to calculate one or more background features associated with the video data. Based on the calculated background features, the video recognitions system assesses the ability of the video-based fire detection system to detect the presence of fire. The system includes one or more outputs operably connectable to communicate the results of the assessment made by the video recognitions system.

Abstract: A video content analysis (VCA) system generates an output regarding a detected condition that provides an indication of a confidence level regarding the detected condition. One example VCA system determines whether a first characteristic of a detected object in a field of vision of the video content analysis system satisfies a first criterion. If so, a first signal is generated under selected conditions. The VCA system also determines whether a second characteristic of the detected object satisfies a corresponding second criterion. If so, a second, different signal is generated if the first and second criteria are satisfied. The first and second signals indicate respective, different confidence levels that an event has occurred. A disclosed example includes a VCA as part of a security system.