Abstract: Machine learning systems and methods for validating workflows are provided. The system receives one or more digital images of a work action being performed, and processes the image using a hierarchical modeling process that includes a filter model and a cascaded expert model. The filter model processes the image to ascertain whether the image is suitable for use in validating completion of the work action. If the system determines that the image is suitable, the image is then processed by the expert model to classify whether the image depicts a scene occurring before, during, or after performance of the work action. The hierarchical modeling process can be utilized to validate different workflows based upon a specified workflow type. A plurality of hierarchical modeling processes can be applied in parallel to an input image in the event that a type of workflow to be validated is not specified in advance.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Systems and methods for data transfer and platform integration using quick response (QR) codes are provided. The system generates first item data associated with a first property item, generates one or more QR codes that encrypt and store the first item data, and sends or displays the one or more QR codes. The system reads the one or more QR codes from an application program installed on a computing device to obtain the encrypted first item data. The system decrypts, using a decryption key, the encrypted first item data to obtain the first item data from the QR code. The system generates, by the application program, first analysis data based at least in part on the first item data.

Abstract: Machine learning systems and methods for price list determination from free-form text data are provided. The system obtains a text description of an item, such as an item that is the subject of an insurance loss claim and processes the text description using a first machine learning model to identify an item being described by the text description. The system then processes the text description using a second machine learning model to identify one or more candidate matching items from a database. The system then automatically populates one or more user interface screens of a claims processing software application using the output of the first machine learning model and the output of the second machine learning model.