Robotic vision system with variable lens for value chain networks

A robotic vision system comprising:

• an optical assembly including at least one sensor, a variable focus liquid lens, and a photon capture board;
• a digital twin system configured to:
• generate a digital twin of the optical assembly;
• adjust at least one parameter of a plurality of digital twin optical parameters associated with the digital twin of the optical assembly;
• execute a simulation based on the plurality of digital twin optical parameters as adjusted;
• and
• collect data from the simulation;
• and
• a processing system configured to dynamically learn on a training set to train an artificial intelligence model to recognize an object,
• wherein the training set includes outcomes, optical parameters, and data collected from the optical assembly and the data collected from the simulation,
• wherein the artificial intelligence model is trained for at least one of:
• classification, prediction, or optimization related decisions about the object, and
• wherein the artificial intelligence model builds a three-dimensional representation of the object in a single step without an intermediate step of processing into two-dimensional images.