The present disclosure describes a computer-implemented method to manage an industrial plant facility, the method including: monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors include one or more camera devices; determining, by a server computer, an event during construction or operation of the industrial plant facility based on analyzing the multiple streams of input data in real-time; and based on the determined event, generating a notification to alert at least one operator of the industrial plant facility.

Systems and methods for determining the location of personnel on a drilling site. A computer vision system can automatically identify and determine the locations of personnel on a drilling site, can generate a confidence map of the locations, and can display the locations of the personnel on a map of the drilling site. The system and methods also include taking corrective action when a person's location is determined to be unsafe, such as by inhibiting or causing automated actions with respect to machinery and equipment at the drilling site. The systems and methods may include the use of multiple cameras or video sources located at the drilling site and may be coupled to a control system to control machinery or equipment at the drilling site.

The invention relates to systems and method for inhibiting or causing automated actions based on estimated person locations comprising multiple video sources configured to detect the location of one or more persons wherein at least one video source is calibrated for a known location and pose. The invention further comprises at least one processor operably connected to a calibrated video source wherein said processor aggregates possible person locations. These systems and method may be useful for initiating or interrupting the automated activity of equipment in the presence of personnel.

An injection molding machine which includes a mold clamping device (20) that opens and closes a mold (90) and clamps the closed mold, an injection device (30) that injects a material into the clamped mold, and an ejecting device (21) that ejects a molded product (100) molded in the mold is provided. The injection molding machine further includes a plurality of cameras (2) that photograph the injection molding machine to generate image data, a memory (6) that records the image data, an input device that sets at least one photographing time by selecting the start or end of each process in a molding cycle, and a control device that controls the camera to photograph the injection molding machine at the at least one photographing time, and controls the memory to record the image data.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

Embodiments of the present disclosure include a method for controlling a power generation system, the method including: detecting a gauge measurement of an operating parameter while visually monitoring a gauge of the power generation system during operation of the power generation system; calculating an expected value of the operating parameter based on a library of modeling data for the power generation system; calculating whether a difference between the gauge measurement of the operating parameter and the calculated expected value of the operating parameter exceeds a predetermined threshold; and adjusting the power generation system in response to the difference exceeding the predetermined threshold, wherein the adjusting includes one of calibrating the gauge or modifying an operating setting of the power generation system.

A method includes identifying one or more first devices contained in at least one image captured by a mobile device. The method also includes obtaining data associated with at least one of: the one or more first devices and one or more second devices connected to or interacting with the one or more first devices. The method further includes presenting information overlaid over the at least one image by the mobile device to a user, where the presented information includes the data or information based on the data. The presented information varies based on perceived distance or proximity of the mobile device to the one or more first devices.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

A method is disclosed for inspecting electrical components within a housing. The method may be useful for identifying dust, grime, corrosion, tree-like structures, edges and/or slots on electrical components. The method includes capturing two optical images of an electrical component and comparing the images. Variations in pixels between the two images may be used to generate warnings.

The invention relates to a method for exchanging information between a household appliance (1) and a mobile device (2), the method comprising the steps of: providing optical information at a graphical user interface (3) of the household appliance (1) (S10); preferably, aligning the mobile device (2) with respect to the household appliance (1) based on one or more markers (4) displayed at a graphical user interface (5) of the mobile device (2) or based on a time-invariant portion of provided optical information (S11); receiving optical information at the mobile device (2) by capturing said optical information provided at the household appliance (1) by a camera (6) of the mobile device (2) (S12); processing said received optical information at the mobile device (1) in order to derive an information message included in said received optical information (S13); providing said information message or information associated with said information message at a user interface of the mobile device (2) (S14).