Dec 2, 2023 · Creating and implementing a Neural network model to design an egg classification system that allows a machine to directly classify the egg type and crack.

Feb 1, 2022 · Convolutional neural network (CNN) based model was developed for egg crack detection. Image patches with high probability to contain cracks were extracted from egg …

To address this gap, a two-stage model was developed based on real-time multitask detection (RTMDet) and random forest networks to predict egg category and weight. The model uses …

Jul 27, 2023 · The study examines three transfer learning methodologies in eggshell crack detection: fine-tuning (FT), feature extraction, and deep features trained on machine learning …

In order to solve the problems of low efficiency and low accuracy of existing detection methods for egg crack detection, this paper proposes an egg crack detection and recognition method …

May 1, 2007 · First, the images of eggs with or without cracks were captured through computer vision system, then the images were processed, and five geometrical characteristic …

Jul 23, 2024 · Firstly, multi-domain egg data are built on different egg origins and acquisition devices. Then, a multi-domain trained strategy is established by using Maximum Mean …

This article presents an eggshell crack inspection using image processing techniques. This approach uses the concept of industrial 4.0 to reduce manual coordination in the egg …

Mar 1, 2019 · Since the cracks on eggshell are difficult to be recognized due to the surrounding highlighted dark spots on the egg surface under back-light illumination, a new method to …

This repository contains the research, documentation, and source code for the Automated Egg Crack Detection System. The system leverages machine learning techniques to detect cracks …