VERA
A self-driving learning-factory cell that sees parts, decides, and tells a robot what to do — no operator hand-holding.
Automation, Digitalization, and UI designer · 2025 · YOLO segmentation · UFactory cobot · Low-code GUI · Python
01 — Problem
High-mix, low-volume production can't be hard-automated — parts change constantly. The factory needed a cell that adapts itself instead of being re-programmed for every new part.
02 — Approach
I trained YOLO segmentation to identify each piece and read its height, computed centroids, and transformed coordinates into the cobot's frame, then wrapped it in a low-code GUI so a non-engineer operator can supervise the autonomous workflow.
03 — Result
VERA (Vision for Enhanced Robotic Automation) is a learning-factory system for high-mix, low-volume production: computer vision perceives parts and a collaborative robot acts on that perception, supervised through a low-code interface.