Systems, methods, and media for manufacturing processes

A multi-step manufacturing method, comprising:

• receiving, by a computing system from a monitoring platform of a manufacturing system, an image of a specimen at a station of one or more stations, each station configured to perform a step of a multi-step manufacturing process;
• extracting a feature vector from the image of the specimen;
• generating, by the computing system using a convolutional neural network, a final quality metric prediction based on the image of the specimen and the feature vector, wherein a final quality metric is a metric associated with a property of a completed specimen that cannot be measured until each step of the multi-step manufacturing process is complete;
• determining, by the computing system, that the final quality metric prediction is not within a range of acceptable values;
• and
• based on the determining, adjusting, by the computing system, control logic for at least a following station, wherein the adjusting comprising a corrective action to be performed by the following station.

A three-dimensional (3D) printing system, comprising:

• a processing station configured to deposit a plurality of layers to form a specimen;
• a monitoring platform configured to monitor progression of the specimen throughout a deposition process;
• and
• a control module configured to dynamically adjust processing parameters for each layer of the plurality of layers to achieve a desired final quality metric for the specimen, the control module configured to perform operations, comprising:
• receiving, from the monitoring platform, an image of the specimen after a layer has been deposited;
• extracting a feature vector from the image of the specimen;
• generating, by the control module using a convolutional neural network, a final quality metric prediction based on the image of the specimen and the feature vector, wherein a final quality metric is a metric associated with a property of a completed specimen that cannot be measured until each layer of the plurality of layers has been deposited;
• determining, by the control module, that the final quality metric prediction is not within a range of acceptable values;
• and
• based on the determining, adjusting, by the control module, control logic for at least a following layer to be deposited, wherein the adjusting comprising a corrective action to be performed by deposition of the following layer.