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:
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:
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 ut 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:
A computerized method for implementing risk discovery with a set of unified security and privacy policies, includes the step of discovering a set of data and a set of data accesses within an enterprise computing system. The method includes the step of classifying the set of discovered data and the set of data accesses with an identification that shows which of the data assets are important or critical for the enterprise. The method includes the step of determining which of the set of discovered data and the set of data accesses have or are associated with sensitive information. The method includes the step of placing the set of discovered data and the set of data accesses that are associated with sensitive information into a set of discovered information about the infrastructure. The method includes the step of determining which of the set of discovered data and the set of data accesses are relevant in the context of a specified governmental data privacy regulation. The method includes the step of placing the set of discovered data and the set of data accesses that are relevant in the context of a specified governmental data privacy regulation into a set of discovered information about the infrastructure. The method includes the step of, with the set of discovered information about the infrastructure, mapping the set of discovered information about the infrastructure to a set of deterministic dimensions.
Abstract:
A video enhancement system provides automatic enhancement to video data that includes the presence of obscurations. The system provides near-field enhancement of the video data by detecting the presence of near-field obscurations such as snowflakes/raindrops and determining whether the detected obscurations are located over background pixels or foreground objects. The detected obscuration pixels are filled-in depending on whether they are located over the background or foreground to create an enhanced image. The system may also provide local/global adaptive contrast enhancement to enhance video in the presence of far-field obscurations.
Abstract:
A system and method for performing automated defect detection using multiple image capture devices is disclosed. The system and method may include providing a plurality of image capture devices, the plurality of image capture devices capturing and transmitting a plurality of images of an object. The system and method may further include determining a feature correspondence between the plurality of images of the plurality of image capture devices, creating mosaiced images of the plurality of images if the feature correspondence is found or known and performing at least of an automated analysis and a manual inspection on the mosaiced images to find any defects in the object.
Abstract:
A wireless device comprises a transceiver and a scheduling system. The transceiver transmits and receives messages to and from an access point, and has a sleep mode from which it occasionally wakes at wakeup times to listen for beacons from the access point. The scheduling system schedules wakeup times according to historical beacon synchronization data.
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:
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.