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Identification and Warning of Processed Grain Stacks Based on Binocular Vision and Deep Learning

To address safety hazards caused by tilting of processed grain stacks during storage, this study proposes an automatic stack tilt detection method based on deep learning and binocular vision technology. By constructing a lightweight domain-adaptive stereo matching model that integrates boundary and...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: LI Lei, ZHOU Yuan-bin, ZHANG Shuo, DENG Ya-wen, HAN Zhi-qiang, ZHANG Feng, XU Qi-keng, GAO Chen-xi
Format: Artigo
Sprache:Inglês
Veröffentlicht: Academy of National Food and Strategic Reserves Administration 2026-05-01
Schriftenreihe:Liang you shipin ke-ji
Schlagworte:
stack tilt detection
computer vision
deep learning
stereo matching
domain-adaptive learning
Online-Zugang:http://lyspkj.ijournal.cn/lyspkj/article/abstract/20260328
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