Ryle Anthony Gabotero

Software engineer

Computer Vision & IoT

OvaLens Ecosystem

YOLOv8 Computer Vision & IoT

Automated duck egg candling and fertility sorting powered by a custom YOLOv8 model, camera exposure controls, a Python edge client, and ESP32 conveyor actuation.

OvaLens computer vision and conveyor architecture

Engineering decisions

Problem
Duck-egg candling needs consistent visual classification and coordination with the physical sorting mechanism.
Decision
Pair a custom YOLOv8 model and controlled camera exposure with a Python edge client and ESP32 conveyor actuation.
Outcome
One edge pipeline connects image classification directly to the conveyor sorting response.