Patent classifications
G06V10/7784
Alert Actioning and Machine Learning Feedback
Some aspects of the present disclosure relate to systems, methods, and computer-readable media for configuring a conduct surveillance system. In one example implementation, a computer implemented method includes: receiving at least one alert from a conduct surveillance system, where the at least one alert represents a potential violation of a predetermined policy, where the predetermined policy includes a scenario, a target population, and a workflow; determining whether each of the at least one alert represents an actual violation of the predetermined policy; calculating a metric based on the actual violations and the potential violations where the metric includes a number of false positives associated with the at least one alert or the number of false negatives associated with the at least one alert; and changing at least one of the scenario, the target population, or the workflow based on the calculated metric.
IMAGE PICKUP APPARATUS CAPABLE OF SETTING FOCUS DETECTION AREA TO AREA THAT USER WANTS TO SET FOR DETECTABLE SUBJECT, IMAGE PROCESSING APPARATUS, CONTROL METHOD FOR IMAGE PROCESSING APPARATUS, CONTROL METHOD FOR IMAGE PICKUP APPARATUS, AND STORAGE MEDIUM
An image pickup apparatus capable of setting a focus detection area to an area that a user wants to set for a detectable subject is provided. The image pickup apparatus comprising a first detecting unit configured to detect an area, which corresponds to at least a part of a subject area within an image and shows subject characteristics, as a first local area, a second detecting unit configured to detect an area, which corresponds to at least a part of the subject area and shows photographing scene characteristics, as a second local area, and a local area selecting unit configured to select one of the first local area and the second local area as an area to be focused according to information about a photographing scene of a subject in a case that both the first local area and the second local area are detected by the first detecting unit and the second detecting unit.
Automated Property Inspections
A property inspection service hosted on a web-based server system. The server system receives a list of physical addresses each corresponding to different parcels. For each address, the server system obtains multiple images including overhead images and perspective view images. A first trained model analyzes selected overhead images individually to identify one or more building structures. A second trained model analyzes selected perspective view images individually to identify a primary building structure. A third trained model analyzes the selected overhead images and the perspective view images together in an integrated approach to identify attributes associated with identified building structure. A digital report is generated as a graphical user interface configured to display the selected images and the attributes associated with the identified building structure.
Graph convolutional networks for video grounding
Method and apparatus that includes receiving a query describing an aspect in a video, the video including a plurality of frames, identifying multiple proposals that potentially correspond to the query where each of the proposals includes a subset of the plurality of frames, ranking the proposals using a graph convolution network that identifies relationships between the proposals, and selecting, based on the ranking, one of the proposals as a video segment that correlates to the query.
Event generation based on user feedback by doorbell camera system
A method for generating an event, which is performed by a doorbell camera system disclosed in the present disclosure may include acquiring video of a visitor, outputting the acquired video of the visitor to a user, learning the user's feedback on the visitor, storing information of the visitor and a learning result of the user's feedback on the visitor, and generating an event based on the information of the visitor and the learning result of the user's feedback.
Systems and methods for enabling user selection of components for data collection in an industrial environment
Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.
Methods and systems for detection in an industrial Internet of Things data collection environment with expert systems diagnostics for vibrating components
Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. An expert system analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit provides an alarm condition in response to the vibration component having the recognized vibration pattern.
SYSTEMS AND METHODS FOR ENABLING USER SELECTION OF COMPONENTS FOR DATA COLLECTION IN AN INDUSTRIAL ENVIRONMENT
Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.
Methods and systems for optimization of data collection and storage using 3rd party data from a data marketplace in an industrial internet of things environment
A system, method and apparatus for data collection in an industrial environment are described. The system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial process, a data marketplace circuit structured to communicate at least one of the plurality of detection values to a data marketplace, and to obtain at least one external detection value, a data analysis circuit structured to determine a state value, an optimization circuit configured to provide a recommendation to adjust a parameter of the process in response to the state value, and an analysis response circuit structured to perform an action in response to the recommendation.
Methods and systems for detection in an industrial internet of things data collection environment with intelligent data management for industrial processes including analog sensors
An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of analog sensors to collect data, a data storage structured to store a plurality of data collection management plans comprising template data collection routines for collection of data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of analog sensors.