Intelligent detection and sorting system for fragile fruits

The intelligent detection and sorting system for fragile fruits utilizes multidimensional image streams and cross-domain coherence compensation technology to solve the problem of misjudgment caused by dirty carriers, achieving high-precision non-destructive sorting of fragile fruits and ensuring the adaptive identification and robustness of the sorting equipment.

CN122367709APending Publication Date: 2026-07-10SHANDONG QINGQINGDADI FRUIT & VEGETABLE CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG QINGQINGDADI FRUIT & VEGETABLE CO LTD
Filing Date
2026-04-08
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing sorting technologies are easily affected by dirt and obstruction of the carrier, leading to visual misjudgment at the bottom and distortion due to mechanical shock wave attenuation, making it difficult to achieve high-precision non-destructive sorting of fragile fruits.

Method used

An intelligent detection and sorting system for fragile fruits is adopted, including a first extraction module, a second extraction module, a cross-domain coherence compensation module, a decision module, and an execution control module. By acquiring multi-dimensional image streams, calculating the spatiotemporal attenuation index of local luminous flux and the spatial micron-level amplitude response spectrum, and combining non-rigid elastic registration and optical flow field offset alignment techniques, a hidden interface rheological feature matrix is ​​generated to achieve accurate detection and sorting of the true viscoelastic state of the bottom of the fruit.

Benefits of technology

It effectively removes shock wave dissipation artifacts caused by dirt, provides a pure, high signal-to-noise ratio data source, ensures high-precision diversion and adaptive identification capabilities, reduces misjudgments, and achieves equipment robustness and operational reliability for continuous high-throughput operations.

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Abstract

This invention provides an intelligent detection and sorting system for fragile fruits, relating to the field of intelligent sorting technology. It includes: a first extraction module acquiring a multidimensional image stream over an unloaded time-series interval and calculating the local luminous flux spatiotemporal attenuation index; a second extraction module acquiring a multidimensional image stream over a loaded time-series interval and extracting the spatial micrometer-level amplitude response spectrum; a cross-domain coherence compensation module generating a hidden interface rheological feature matrix based on the local luminous flux spatiotemporal attenuation index and the spatial micrometer-level amplitude response spectrum; a decision module generating a sorting route instruction set based on the hidden interface rheological feature matrix; and an execution control module driving a physical sorting mechanism according to the sorting route instruction set. This invention restores high signal-to-noise ratio data through cross-domain compensation, eliminates systemic misjudgments caused by contamination through collaborative decision-making and a circuit breaker mechanism, and establishes a self-healing closed loop including fixed-point cleaning, improving equipment robustness and operational reliability without interrupting mainline operations.
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