The invention provides an automatic inspection process for detecting visible defects on a manufactured item. The process includes a set up mode in which images of same-type defect free items, but not images of same-type defected items, are obtained, and an inspection mode in which images of both same-type defect free items and same-type defected items, are obtained and defects are detected. Images of the same-type defect free items are analyzed and based on the analysis the process switches to the inspection mode.

An aviation component inspection device includes a camera, a display, an input device, and a computer. The camera is configured to capture images of an aviation component under inspection. The computer is configured to receive an image from the camera, evaluate the image with one or more machine-learning aviation component-detection models. Each machine-learning aviation component-detection model is previously trained to output at least one confidence score indicating a confidence that a corresponding aviation component is present in the image. The computer is configured to present, via the display, a list of candidate aviation components based on corresponding confidence scores output by the one or more machine-learning aviation component-detection models, and add data previously-associated with a selected candidate aviation component from the list to a digital inspection report responsive to receiving user verification, via the input device, confirming the selected candidate aviation component is present in the image.

An image recorder (18) supported above a conveyor (22) captures images of a top surface of the loaded pallet (30) supported on the conveyor (22). The image is transmitted to a computer (26). A software routine stored on a memory on the computer (26) compares the image to a manufacturing specification. The software routine determines whether the image is within a manufacturing tolerance of the manufacturing specification.

An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

An automatic inspection process for detecting visible defects on a manufactured item, the process including a set up mode in which images of same-type defect free items, but not images of same-type defected items, are obtained, and an inspection mode in which images of both same-type defect free items and same-type defected items, are obtained and defects are detected, where images of the same-type defect free items are analyzed and based on the analysis the process switches to the inspection mode.

A handheld device for making 3D topography measurements of surface discontinuities in high performance structures, such as aerostructures (e.g., aluminum fuselages). Lights illuminate the discontinuity from multiple angles, and a camera captures images of the discontinuity. A thickness sensor generates thickness data regarding a thickness of the base material and the top protective coating. A position sensor generates position data regarding a location of the discontinuity on the structure. A processor generates geometry data regarding a geometry of the discontinuity based on the images, performs an analysis of the geometry, thickness, and position data, and communicates a result of the analysis on a display. A conforming membrane and/or a gel and an opaque lubricant may be applied over and conform to the discontinuity in order to make more uniform a reflectivity difference and a color difference between the discontinuity and an adjacent portion of the structure.

A method and device for providing a graphic overlay for measuring dimensions of features using a video inspection device. One or more measurement cursors are placed on pixels of an image of the object. One or more planes are determined parallel or normal to a reference surface or line and passing through surface points associated with the measurement cursors. A semi-transparent graphic overlay is placed on pixels with associated surface points having three-dimensional surface coordinates less than a predetermined distance from the plane(s) to help the user place the measurement cursors.

In order to reduce inspection tact time in centralized management of a plurality of inspection lines, the system includes: a plurality of inspection lines 4 each having a visual appearance inspection device 3; a first database 5A for storing a captured image captured by each of the visual appearance inspection device 3; and a centralized control device 6 connected to each of the visual appearance inspection devices 3 and the first database 5A, having a display unit 32 that displays an inspection image of an inspection object 7, and enabling visual inspection of the inspection object 7 conveyed on each of the inspection lines 4 in a centralized manner; wherein, while one of the inspection lines 4 is inspected by using the centralized control device 6, the visual appearance inspection devices 3 of the other inspection lines 4 pre-captures the inspection object 7 conveyed on the inspection line 4 under predetermined capturing conditions and stores the pre-captured image in the first database 5A, and wherein the pre-captured image read from the first database 5A is displayed on the display unit 32 in the visual inspection.

Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.

There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.