Automation and Optimization of Food Process Using CNN and Six-Axis Robotic Arm
Youngjin Kim, Sangoh Kim · 2024
Read Automation and Optimization of Food Process Using CNN and Six-Axis Robotic Arm by Youngjin Kim, Sangoh Kim (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11639854.txt.
Description
Youngjin Kim and Sangoh Kim build, in a 2024 paper, a robot system that roasts coffee by watching the beans and smelling the roast as it goes. Their Food Process Robot Intelligent System pairs a three-dimensional printed six-axis arm with a vision network. The network classifies beans inside the roaster and steers it in real time, dodging obstacles and empty spots. Gas readings join image data to judge how dark the roast has become.
Trials compared a preliminary batch with a validation batch as roast intensity rose. Both showed the same pattern: more weight loss, a stronger gas signal shift, and dimmer bean pixels. The authors say the system controls roast degree with unusual precision for an automated setup. They plan to carry the design into other food processes, toward a general kitchen automation platform.
Catalog record
| CREATOR | Youngjin Kim, Sangoh Kim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |