Abstract: An artificial intelligence (AI) model management system is disclosed. The system may receive data, such as image data, as part of a task to be completed. The system may apply an AI model, such as a machine learning algorithm, to the data. The system may also generate performance data based on performance of the AI model, and determine whether to route AI model results for verification. During verification, one or more inputs are received indicating whether the AI model results are correct and, if not correct, a correct result. The system may determine which inputs indicate a correct result if, for example, the inputs do not indicate the same correct result. The AI model may be trained in real-time based on the verified or corrected results. In some examples, the system causes one or more actions to be taken upon completion of the task.

Abstract: Provided herein is a method for enhanced automated reading of an analog gauge, the method including: obtaining a reading image of a target gauge, obtaining or creating a template configuration corresponding to the target gauge, processing the reading image relative to the corresponding template configuration, determining any irregularity in the reading image, and compensating for the determined irregularity. Also provided are systems for creating a template configuration for use in enhancing an automated reading of a target gauge value.

Abstract: An artificial intelligence (AI) model management system is disclosed. The system may receive data, such as image data, as part of a task to be completed. The system may apply an AI model, such as a machine learning algorithm, to the data. The system may also generate performance data based on performance of the AI model, and determine whether to route AI model results for verification. During verification, one or more inputs are received indicating whether the AI model results are correct and, if not correct, a correct result. The system may determine which inputs indicate a correct result if, for example, the inputs do not indicate the same correct result. The AI model may be trained in real-time based on the verified or corrected results. In some examples, the system causes one or more actions to be taken upon completion of the task.