Methods and systems for detecting the freshness of poultry eggs

The method automates poultry egg freshness grading through image scanning and numerical analysis, addressing variability in egg freshness, enhancing accuracy and efficiency.

TW202632269AActive Publication Date: 2026-08-01CHE FROZEN FOOD
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Patent Information

Application Number
TW114102491
Authority / Receiving Office
TW · TW
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-01-21
Publication Date
2026-08-01
Estimated Expiration
2045-01-20

AI Technical Summary

Technical Problem

The freshness of poultry eggs varies due to storage time and environmental conditions, affecting the quality of processed products, necessitating an automated and accurate method for grading egg freshness.

Method used

A method involving batch confirmation, egg weight measurement, image scanning to create a three-dimensional point cloud map, numerical analysis using a three-dimensional boundary algorithm, and an AI grading model to establish a standardized freshness rating system, along with an egg-peeling device for automated detection and grading.

Benefits of technology

Enables rapid, automated, and accurate grading of egg freshness, reducing labor costs and improving efficiency by using image processing and numerical analysis to determine the freshness of poultry eggs.

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Abstract

A method for detecting the freshness of poultry eggs includes: a batch number confirmation step by scanning the batch number of the poultry eggs to be tested; a weight detection step by weighing the poultry eggs; an egg-opening step by peeling open the poultry eggs to obtain the egg liquid to be tested; a weight measurement step by weighing the egg liquid; an image scanning step by scanning the egg liquid to obtain egg liquid image data; a data processing and identification step by converting the egg liquid image data into a three-dimensional point cloud map and recording the relevant spatial coordinates and structural information into plain text files; and a algorithm to identify and construct the spatial boundaries and volumes of the yolk, thick albumen, and thin albumen structures in the egg liquid. The method and system include: numerical analysis steps for proportions; analysis of the structural volume ratios of egg yolk, concentrated albumen, and diluted albumen to establish a standardized freshness rating system; freshness grading steps for identifying the freshness level of egg liquid after numerical analysis according to the freshness rating system; result display steps for displaying the freshness grading results for personnel confirmation; and data storage steps for recording and storing the freshness grading results. This provides an automated, rapid, and accurate detection and analysis method for egg liquid, thereby achieving automated freshness grading of eggs.
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