Abstract: A method includes capturing, by an image-capturing device, a one or more images of at least a portion of a pharmacy workstation. The method also includes identifying, by a processor in communication with the image capturing device, objects of interest in a first image of the one or more images and classifying, by the processor, the detected objects of interest using a convolutional neural network associated with the processor. The method also includes identifying, by the processor, a boundary defining an opening of a container in a second image of the one or more images. The method also includes updating, by the processor, an objects in container list based on a determination that at least one of the classified objects passed the boundary.

Abstract: A computer system for testing a user interface includes a memory circuit and a processor circuit configured to execute instructions including obtaining a state of the user interface. The instructions include setting a current position to a specified location within the user interface. The instructions include executing user interface tests to generate multiple paths. The instructions include determining a shortest path toward a goal location by identifying a path having a minimum distance that satisfies criteria. A distance for the path is based on two-dimensional distances between pairs of consecutive positions that include the current position as well as positions, along the particular path, of user interface elements requiring interaction to satisfy the criteria.

Abstract: A computer system for testing a user interface includes a memory circuit and a processor circuit configured to execute instructions including obtaining a state of the user interface. The instructions include setting a current position to a specified location within the user interface. The instructions include executing user interface tests to generate multiple paths. The instructions include determining a shortest path toward a goal location by identifying a path having a minimum distance that satisfies criteria. A distance for the path is based on two-dimensional distances between pairs of consecutive positions that include the current position as well as positions, along the particular path, of user interface elements requiring interaction to satisfy the criteria.

Abstract: A method includes capturing, by an image-capturing device, a one or more images of at least a portion of a pharmacy workstation. The method also includes identifying, by a processor in communication with the image capturing device, objects of interest in a first image of the one or more images and classifying, by the processor, the detected objects of interest using a convolutional neural network associated with the processor. The method also includes identifying, by the processor, a boundary defining an opening of a container in a second image of the one or more images. The method also includes updating, by the processor, an objects in container list based on a determination that at least one of the classified objects passed the boundary.

Abstract: A computer system for testing a user interface (UI) includes a test creation module, a test execution module, a path entry module, and an analysis module. The test creation module obtains testing parameters including a UI location and goal criteria. The test execution module obtains a state of the UI based on the location, sets a current position to a predetermined location, executes tests according to the obtained state and the current position, stores test distance or test data results from completed UI tests, and determines a shortest path toward the goal in the UI based on the completed UI tests. The path entry module receives preferred path information and accordingly generates a preferred path toward the goal. The analysis module compares the determined shortest path to the generated preferred path and outputs an analysis result according to the comparison of the determined shortest path to the generated preferred path.

Abstract: A method includes capturing, by an image-capturing device, a one or more images of at least a portion of a pharmacy workstation. The method also includes identifying, by a processor in communication with the image capturing device, objects of interest in a first image of the one or more images and classifying, by the processor, the detected objects of interest using a convolutional neural network associated with the processor. The method also includes identifying, by the processor, a boundary defining an opening of a container in a second image of the one or more images. The method also includes updating, by the processor, an objects in container list based on a determination that at least one of the classified objects passed the boundary.

Abstract: A computer system for testing a user interface (UI) includes a test creation module, a test execution module, a path entry module, and an analysis module. The test creation module obtains testing parameters including a UI location and goal criteria. The test execution module obtains a state of the UI based on the location, sets a current position to a predetermined location, executes tests according to the obtained state and the current position, stores test distance or test data results from completed UI tests, and determines a shortest path toward the goal in the UI based on the completed UI tests. The path entry module receives preferred path information and accordingly generates a preferred path toward the goal. The analysis module compares the determined shortest path to the generated preferred path and outputs an analysis result according to the comparison of the determined shortest path to the generated preferred path.

Abstract: A computer system for testing a user interface (UI) includes a test creation module, a test execution module, a path entry module, and an analysis module. The test creation module obtains testing parameters including a UI location and goal criteria. The test execution module obtains a state of the UI based on the location, sets a current position to a predetermined location, executes tests according to the obtained state and the current position, stores test distance or test data results from completed UI tests, and determines a shortest path toward the goal in the UI based on the completed UI tests. The path entry module receives preferred path information and accordingly generates a preferred path toward the goal. The analysis module compares the determined shortest path to the generated preferred path and outputs an analysis result according to the comparison of the determined shortest path to the generated preferred path.

Abstract: A method includes capturing, by an image-capturing device, a one or more images of at least a portion of a pharmacy workstation. The method also includes identifying, by a processor in communication with the image capturing device, objects of interest in a first image of the one or more images and classifying, by the processor, the detected objects of interest using a convolutional neural network associated with the processor. The method also includes identifying, by the processor, a boundary defining an opening of a container in a second image of the one or more images. The method also includes updating, by the processor, an objects in container list based on a determination that at least one of the classified objects passed the boundary.

Abstract: A method includes capturing, by an image-capturing device, a one or more images of at least a portion of a pharmacy workstation. The method also includes identifying, by a processor in communication with the image capturing device, objects of interest in a first image of the one or more images and classifying, by the processor, the detected objects of interest using a convolutional neural network associated with the processor. The method also includes identifying, by the processor, a boundary defining an opening of a container in a second image of the one or more images. The method also includes updating, by the processor, an objects in container list based on a determination that at least one of the classified objects passed the boundary.

Abstract: A computer system for testing a user interface (UI) includes a test creation module, a test execution module, a path entry module, and an analysis module. The test creation module obtains testing parameters including a UI location and goal criteria. The test execution module obtains a state of the UI based on the location, sets a current position to a predetermined location, executes tests according to the obtained state and the current position, stores test distance or test data results from completed UI tests, and determines a shortest path toward the goal in the UI based on the completed UI tests. The path entry module receives preferred path information and accordingly generates a preferred path toward the goal. The analysis module compares the determined shortest path to the generated preferred path and outputs an analysis result according to the comparison of the determined shortest path to the generated preferred path.