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Real-Time Small Retail Product Detection in Low-Light Intelligent Cabinets Under Complex Backgrounds

Moushiqi Yang1, Junjie Cai2, Yuanyuan Yang3

  • 1Future Technology Academy, Yangtze University, Jingzhou 434023, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

This study introduces an improved YOLOv26 framework for real-time small retail product detection in low-light intelligent cabinets. The enhanced model boosts accuracy and robustness, ensuring efficient product recognition in challenging retail settings.

Keywords:
embedding deploymentlow-light detectionmulti-scale feature fusionreal-time detectionretail product detectionsamll object detection

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