Road Surface Fall-prevention Detection Method and Product Design Based on MAR-YOLO from a Digital Age-friendly Perspective

XU Qiuying; CHEN Ju; YAN Hemin

doi:10.19554/j.cnki.1001-3563.2026.12.023

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 287-297. DOI: 10.19554/j.cnki.1001-3563.2026.12.023

Road Surface Fall-prevention Detection Method and Product Design Based on MAR-YOLO from a Digital Age-friendly Perspective

XU Qiuying¹, CHEN Ju^1,*, YAN Hemin²

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Abstract

The work aims to propose a lightweight real-time detection model along with related product designs to address the issue of fall risks among the elderly caused by slippery road surfaces, and enhance outdoor safety and reduce the incidence of falls. Based on the improved MAR-YOLO algorithm (MobileNetV4-AFPN-ResCBAM-YOLOv11), MobileNetV4 was used as the backbone network for lightweight model design. The asymptotic feature pyramid network (AFPN) was incorporated to enhance the multi-scale feature fusion capability, and the ResCBAM attention mechanism was integrated to improve the efficiency of key feature extraction, thereby significantly boosting detection robustness in complex environments. Experimental results demonstrated that the proposed model achieved outstanding performance in slippery road surface detection, with a precision of 98.5% and a recall rate of 90.1%, fulfilling practical deployment requirements by maintaining high accuracy while ensuring lightweight and rapid detection. The study further designs a fall prevention system and corresponding product solutions for the elderly, effectively integrating lightweight deep learning technology with proactive prevention mechanisms. This work not only provides technical support for the development of smart city elderly-care facilities, but also offers practical references for innovative applications in assistive technology.

Key words

slippery road surface detection / digital age-friendly / fall-prevention / object detection / lightweight neural network

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XU Qiuying, CHEN Ju, YAN Hemin. Road Surface Fall-prevention Detection Method and Product Design Based on MAR-YOLO from a Digital Age-friendly Perspective[J]. Packaging Engineering. 2026, 47(12): 287-297 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.023

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