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工業技術研究院

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技術名稱: 食物份量與類別判讀影像辨識技術

技術簡介

本技術應用超像素影像標記技術進行食物區塊標記,並以深度學習方法研發自動化食物影像分析技術,前端顯示搭配智慧語音輸入等UI/UX設計,根據切割區塊估算飲食營養素含量,以解決日常飲食記錄之困難

Abstract

This technology adopts super-pixel image region growing algorithm to label the region of interest in food and deep-learning method to develop the technology of automatic food image analytics. In addition, take advantage of front-end UI/UX design such as intelligent voice input. According to the cutting region, estimate the quantity of food nutrition in order to solve the difficulty of taking daily food record

技術規格

食材資料庫:100種常見食材 影像解析度:1280*720 像素 待測食物可偵測範圍: 5~25 平方公分 單一食材識別範圍:32*32 pixel ? 8 mm2 辨識準確率:80% 半自動食材標記技術分析時間:<2秒/單一影像 食材影像識別時間:<2秒/單一食材

Technical Specification

Food database: 100 kinds of common food The Image resolution : 1280*720 pixel The field of view : 5~25cm2 The single food identification range: 32*32 pixel ? 8 mm2 Identification accuracy: 80% Food labeling analysis time: <2 seconds / single image Meal ingredients recognition time: <2 seconds / single ingredients

技術特色

本技術以超像素食物影像標記技術進行食物區域標記及比例估算,再以深度學習方法應用於各區域食物影像之分析,找出基本食材品項,藉由語音注釋協助修正識別結果以符合使用者認知,最後以虛實尺寸比例估算份量,透過查詢食材營養知識庫以評估各營像素含量,其分析辨識率達80%

應用範圍

1.醫療院所專業糖尿病照護單位 2.社區關懷照護服務 3.健康照護資訊整合服務業

接受技術者具備基礎建議(設備)

智慧型行動裝置

接受技術者具備基礎建議(專業)

1.具飲食指引衛教照護基本知識 2.略具營養教育或餐飲背景 3.網路服務與應用相關之技術能量與經驗

技術分類 H-智慧照護

聯絡資訊

聯絡人:李錦妮 智慧醫療與照護組

電話:+886-3-5912678 或 Email:joelli@itri.org.tw

客服專線:+886-800-45-8899

傳真:+886-3-5910212

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