Quail Eggs Detection and Classification Through Image Processing

The general objective of this study is to develop a Quail Egg detection and classification through egg candling and image processing. The specific goals are as follows: (1) To create a prototype, an egg candling device using camera and raspberry pi. (2) Use Python with Keras and TensorFlow algorithm to train the model and implement the CNN architecture to determine the fertility of Quail egg. (3) To evaluate the accuracy of the system using a confusion matrix for the egg.