智能水果监测设备自动识别水果并提醒过敏源，助力健康饮食
FruitPAL: An IoT-Enabled Framework for Automatic Monitoring of Fruit Consumption in Smart Healthcare
- 用YOLOv8/v5.6模型自动识别15种水果类型
- 可实时检测过敏原并估算水果营养值，准确率提升明显
- 适合慢病管理与居家健康监护人群使用
水果富含人体必需的维生素和营养素。本研究提出两款全自动设备FruitPAL及其升级版FruitPAL 2.0，旨在促进安全水果摄入并降低健康风险。两款设备基于包含十五种水果的高质量数据集，采用YOLOv8与YOLOv5 V6.0先进模型提升检测精度。原版FruitPAL能识别多种水果类型，并在检测到过敏反应时通过云端向移动端发送通知，实现即时响应。FruitPAL 2.0进一步具备估算水果营养值的能力，基于YOLOv5 V6.0模型分析摄入情况，为用户提供有价值的膳食洞察。该系统通过提醒潜在致敏物并鼓励摄入高营养水果，支持用户做出知情饮食选择，兼顾健康效益与过敏防护。
原文摘要 · Abstract (English)
Fruits are rich sources of essential vitamins and nutrients that are vital for human health. This study introduces two fully automated devices, FruitPAL and its updated version, FruitPAL 2.0, which aim to promote safe fruit consumption while reducing health risks. Both devices leverage a high-quality dataset of fifteen fruit types and use advanced models- YOLOv8 and YOLOv5 V6.0- to enhance detection accuracy. The original FruitPAL device can identify various fruit types and notify caregivers if an allergic reaction is detected, thanks to YOLOv8's improved accuracy and rapid response time. Notifications are transmitted via the cloud to mobile devices, ensuring real-time updates and immediate accessibility. FruitPAL 2.0 builds upon this by not only detecting fruit but also estimating its nutritional value, thereby encouraging healthy consumption. Trained on the YOLOv5 V6.0 model, FruitPAL 2.0 analyzes fruit intake to provide users with valuable dietary insights. This study aims to promote fruit consumption by helping individuals make informed choices, balancing health benefits with allergy awareness. By alerting users to potential allergens while encouraging the consumption of nutrient-rich fruits, these devices support both health maintenance and dietary awareness.
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