Abstract: Data Analytics Engines can be provided as a “black-boxed” abstraction to their “users.” This allows a user to mix and match analytical components if their input data matches the input requirement of the engine. Furthermore, by decoupling the Data Analytics Engine creation from the environment, a high degree of process automation, scalability, and improved maintainability can be achieved. As a result, Data Analytic engineers and Data Scientists can create reusable components for other scientists and business users, whereas the users need not know how the Engines are coded or the environment in which their engines will run, but only need to know the input schema of the data.

Abstract: A digital photo of an object is received. The digital photo is transformed to an image. A dimension for an anchor line is calculated based at least in part on the image. The image is scaled based at least in part on the dimension. A confidence value is calculated based at least in part on the scaled image.