Other

Puretech Systems Inc.

Marvin Wade Barnes

Fereydoun Maali

Dilip Swaminathan

Travis Alexander Woodrow

Brant Buchika

Monroe Milas Thomas

Larry J Bowe, Jr

Andrew Giles Tillman

A system and method for processing alarms includes receiving alarm data from a third-party data source, the alarm data having visual data, an area of interest, and a sought target. The system processes the visual data to detect an object in the area of interest, and then classifies the object either in conformance with the sought target or in nonconformance with the sought target. The system issues a positive alarm when the object is in conformance with the sought target, and issuing issues a false alarm when the object is in nonconformance with the sought target. Feedback is received from the third-party data source regarding an accuracy of the respective positive alarm and the false alarm.

Alarm processing and classification system and method

A system and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.

System and method for deep learning enhanced object incident detection

System and method for object falling and overboarding incident detection

A system and method for detecting a man overboard incident on structures such as cruise vessels and oil rigs. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices are located at the lowest deck of the structure and monitor a fall that passes through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real world information such as size, trajectory, and location is determined.

System and method for man overboard incident detection

A system and method for autonomous tracking of aerial targets in real space in a featureless background includes capturing and processing first and second images. A resultant image is produced which includes blobs corresponding to elements in the real space. The resultant image is further processed, together with either or both of the first and second images. One of the blobs is analyzed, classified, and tracked as a target.

System and method for autonomous PTZ tracking of aerial targets

A system for autonomous tracking of aerial targets in real space. The imaging means captures and aligns first and second images. A normalized correlation operation initiates a process for producing a resultant image including blobs corresponding to elements in the real space, despite the presence of a homogenous aerial background. One of the blobs is analyzed, classified, and tracked as a target.

An autonomous lock-on target tracking system and method with imaging means for a real space. The imaging means captures and aligns first and second images. A frame-differencing operation produces a resultant image including blobs corresponding to elements in the real space. One of the blobs is analyzed, classified, and tracked as a target.

System and method for autonomous lock-on target tracking

An autonomous lock-on target tracking system and method with geospatial-aware PTZ cameras includes a camera imaging a terrain space. The camera acquires images, and first and second images are aligned. A frame-differencing operation produces a resultant image including blobs corresponding to elements in the terrain space. One of the blobs is classified as an object and tracked as a target. The target is tracked by determining the distance between a centroid of the target and a center of a field of view of the camera, and instructing the camera to move through the distance. The distance is continually updated as the camera and the target move. Disclosed are also methods for deploying the georeferencing enabled version of such PTZ camera on stationary and mobile land, sea and air platforms.

Autonomous lock-on target tracking with geospatial-aware PTZ cameras

An autonomous lock-on target tracking system and method with geospatial-aware PTZ cameras includes a camera imaging a terrain space. The camera acquires images, and first and second images are aligned. A frame-differencing operation produces a resultant image including blobs corresponding to elements in the terrain space. One of the blobs is classified as an object and tracked as a target. The target is tracked by determining the distance between a centroid of the target and a center of a field of view of the camera, and instructing the camera to move through the distance. The distance is continually updated as the camera and the target move.

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Glendale, AZ, United States of America

Marvin Wade Barnes