Robot Writing Machine Control and Font Generation Software

Project number: 
21029
Sponsor: 
Simply Noted
Academic year: 
2020-2021
Project Goal: Provide the capability of designing and creating custom handwriting fonts that can be merged into a personalized message and written by a Robotic Writing Machine while updating current operating systems.

Handwritten communication has been proven to provide a powerful personal touch to a message, but providing this touch at scale can be a challenge. To address this, the team created a software application capable of font generation, font customization, message production, order delivery and pen control.

The Robotic Writing Machine, or RWM, system uses open source machine learning software to recognize characters from an individual's handwriting and compile them into an OpenType font. The system then allows the operator to customize each glyph in the font library.

Once the customized font has been completed, the operator uses a desktop application to access it and create a personalized message with embedded variables where consumer information can be mail-merged and parsed into work batches. These work batches are converted into a scalable vector graphic file to be delivered to and written by the RWM.

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