A method and system for real-time detection of fruit ripeness

By analyzing the grayscale changes and edge features of continuous image frames of strawberry fruit surface, a reflectance brightness change sequence was constructed, which solved the problem of misidentification of fruit maturity under non-uniform lighting conditions and achieved more stable and accurate maturity detection.

CN121640448BActive Publication Date: 2026-07-21CHINA AGRI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA AGRI UNIV
Filing Date
2025-11-25
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing real-time fruit ripeness detection methods are prone to misinterpreting fruit surface brightness fluctuations as state changes due to isolated frame judgments when faced with time-varying environments or non-uniform lighting conditions, resulting in unstable ripeness analysis results and inaccurate classification.

Method used

By acquiring channel image signals of continuous image frames of strawberry fruit surface, the gray-level change trend of reflective areas is extracted, the drift direction of edge coordinate sequence is tracked, the time extension characteristics are analyzed, and the regional symmetry shift is measured by combining the distribution of gray-level jump points. A reflective brightness change sequence is constructed, and image frame sequence intervals with temporal continuity and regional attribute coordination are selected to complete the segmented response and feature summarization of the ripe state.

Benefits of technology

It improves the stability and accuracy of fruit ripeness detection, is more adaptable in dynamic tracking scenarios, reduces false identification caused by environmental changes, and achieves reliable detection of fruit ripeness.

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Abstract

The present application relates to fruit detection technology field, specifically to a kind of fruit maturity real-time detection method and system, comprising the following steps: obtaining channel image signal, extract gray variation trend, judge area enhancement condition, track edge drift direction, analyze time extension characteristics, compare gray jump synchronism, identify light and dark variation trend, screen structure coordination and luminance rising section, output maturity state sequence.In the present application, by tracking the channel luminance enhancement trend in image frame, combined with edge profile drift direction and time extension characteristics, extract the persistence of structural change, measure the degree of area symmetry deviation according to the distribution of gray jump point, combined with the light and dark change direction of gray mean value to construct the reflection change trend, screen the image frame sequence interval with structure stability and luminance rising synchronous appearance, extract the paragraph with time continuity and regional attribute coordination, complete the segmented response and feature induction of fruit surface maturity state change process.
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