Abstract: Systems and methods for monitoring an industrial process are disclosed. The method may include receiving image information conveying a time-ordered series of images of the industrial process; generating segmentation maps for the images; identifying individual sets of the images that depict cobble event candidates; determining whether the cobble event candidates are actual cobble events; and generating control signals to remediate actual cobble events.

Abstract: A method is provided for managing safety in an industrial environment. The method comprises: (a) detecting an event based on time-series data collected from a wearable device, where the time-series data comprises motion data and/or physiological data about a subject; (b) obtaining location data and time data about the event, where the location data is provided by a real-time locating component; (c) identifying one or more imaging device(s) (camera, LIDAR, etc.) from a plurality of imaging devices based at least in part on the location data and the field of view of each of the plurality of imaging devices; and (d) extracting visual data based at least in part on the time data about the event and a type of the event.

Abstract: A system is provided for managing safety of bridge cranes in an industrial environment. The system comprises: (a) a first real-time locating component for generating a first location data stream about a crane within the industrial environment; (b) a second real-time locating component for generating a second location data stream about mobile persons and objects within the industrial environment; (c) one or more processors in communication with the first real-time locating component and the second and configured to: synchronizing the first location data stream and the second location data stream, converting the first location data stream into a coordinate of the second time locating component, and determine a collision event between the crane and the movable object; and (d) optionally a component using optical/infrared sensors (camera, LIDAR, etc.) backed by artificial intelligence for visualization and high-level analytics.

Abstract: A mobile system is provided for managing safety in a dynamic environment. The system comprises: a computer vision component for generating a computer vision output data; a real-time locating component for generating location data about an object within the industrial environment; a LIDAR component for generating 3D point cloud data of the industrial environment; and one or more processors coupled to the computer vision component, the real-time locating component and the LIDAR component and configured to: (i) process the data stream with aid of a machine learning algorithm trained model to generate a safety related result and feedback data, and (ii) deliver the feedback data to the object via the mobile tag device, and a mobile platform configured to move the mobile system in the environment.

Abstract: Multimodal systems are provided for managing safety in an industrial environment. The system comprises: (a) a computer vision component for generating a first output data; (b) a real-time locating component for generating a second output data about an object within the industrial environment and a mobile tag device deployed to the object; (c) a LIDAR component for generating a third output data; and (d) an edge computing device connected to the computer vision component, the real-time locating component and the LIDAR component via a local network, and is configured to: (i) receive a data stream including the first output data, the second output data and the third output data, (ii) process the data stream using a machine learning algorithm trained model to generate a safety related result and feedback data, and (iii) deliver the feedback data to the object via the mobile tag device.

Abstract: A multimodal system is provided for managing safety in an industrial environment. The system comprises: a computer vision component for generating a computer vision output data; a real-time locating component for generating location data about an object within the industrial environment; a LIDAR component for generating 3D point cloud data of the industrial environment; and one or more processors coupled to the computer vision component, the real-time locating component and the LIDAR component and configured to: (i) generate label data using the location data and identity about one or more objects generated by the real-time locating component, and (ii) update one or more predictive models utilized by the component vision component or the multimodal system using the label data.

Abstract: An adaptive multimodal system is provided for managing safety in an industrial environment. The system comprises: a computer vision component for generating a computer vision output data; a real-time locating component for generating location data about an object within the industrial environment; a LIDAR component for generating 3D point cloud data of the industrial environment; and one or more processors coupled to the computer vision component, the real-time locating component and the LIDAR component and configured to: (i) obtain an identity of the object and the location data, and (ii) adjust, based at least in part on the identity and the location data, a pixel distribution for acquiring the 3D point cloud data, the process for generating the computer vision output data, or one or more parameters for acquiring an image data by the computer vision component.