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Quail Egg Detection and Classification Through Egg Candling and Image Processing — Thesis Design project by YenkoDev

Quail Egg Detection and Classification Through Egg Candling and Image Processing

Software as a Service

No

Category

Thesis Design

Clients

Mapua University

Techstack

PythonTensorFlowOpenCVPyQt5Raspberry Pi

Purpose

Automate quail egg fertility inspection by combining a candling rig with image classification, replacing slow manual candling with a device that grades each egg as fertile, infertile, or not a quail egg.

Description

A Raspberry Pi candling prototype captures backlit egg images with its camera and classifies them using a convolutional neural network trained in TensorFlow/Keras on a fertile-versus-infertile dataset, then deployed on-device as a TensorFlow Lite model. A PyQt5 touchscreen interface handles capture and displays results, and model performance was validated with accuracy metrics and a confusion matrix.

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