3D food printing is an emerging technology that can customize food designs and produce personalized foods. Extrusion-based 3D food printing dispenses food filaments onto a platform, and the object is built layer by layer based on a digital design. The diversity of food materials made it challenging to control the extrusion flow, which often leads to over and under extrusion during printing. Computer vision (CV) offers automated and standardized methods to measure object distance and velocity. Here, we introduce applications of CV to monitor and calibrate 3D food printing.
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