Passio Nutrition-AI
  • Nutrition-AI SDK Overview
  • Guides
    • Nutrition AI SDK
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • iOS SDK Docs
      • Before getting started
      • Getting the ml models to the device
      • Run the demos first
      • Adding Passio SDK into your project
      • Initialize and configure the SDK
      • Start/Stop food detection
      • Food Recognition Delegate
      • Migration from SDK 1.4.X to 2.x
      • SDK API
      • Quick Start Guide
        • Installation
        • Configure the SDK (UIKit)
        • Recognise food using image
        • Food Details
    • Android SDK Docs
      • Getting started
        • Include the library
        • Camera
        • SDK Initialization and Configuration
        • Food detection session
        • Visual, Barcode and Packaged Food detection
        • Nutritional Database
        • Sandbox app
      • Troubleshooting on Android
      • Migration from SDK version 1.4.x to 2.x
      • Quick Start Guide
        • Importing the Android SDK to a project
        • Configure SDK and handle the result
        • RecognizeImageRemote
        • Food Details
    • React Native SDK Docs
      • Getting Started
        • Installation
        • SDK Initialization and Configuration
      • API Reference
        • configure & requestCameraAuthorization
        • recognizeImageRemote
        • searchForFood & searchForFoodSemantic
        • startFoodDetection
          • FoodDetectionEvent
        • fetchFoodItemForProductCode
        • fetchFoodItemForRefCode
        • fetchFoodItemForDataInfo
        • startNutritionFactsDetection
        • fetchFoodItemForPassioID
        • recognizeSpeechRemote
        • Fetch Nutrients
        • onDowloadingPassioModelCallBacks
        • detectFoodFromImageURI
        • addToPersonalization
        • updateLanguage
        • fetchHiddenIngredients
        • fetchVisualAlternatives
        • fetchPossibleIngredients
      • Properties
        • PassioFoodItem
        • PassioFoodDataInfo
        • PassioFoodAmount
        • PassioIngredient
        • PassioNutrients
        • UnitMass
        • ServingUnit
        • ServingSize
        • PassioSearchResult
        • NutritionFacts
        • PassioNutritionPreview
        • PassioSpeechRecognitionModel
        • PassioLogAction
        • PassioAdvisorFoodInfo
        • FoodCandidates
        • FoodDetectionEvent
        • NutritionDetectionEvent
        • DetectedCandidate
        • BarcodeCandidate
        • PackagedFoodCode
        • AmountEstimate
        • ImagesInfo
        • PassioStatus
        • FoodDetectionEvent
        • NutritionFacts
        • PassioMealPlan
        • PassioMealPlanItem
      • Nutriton Advisor
        • initConversation
        • sendMessage
        • sendImage
        • Guide
          • useNutritionAdvisor
        • Properties
          • PassioAdvisorResponse
          • PassioAdvisorMessageResultStatus
          • PassioAdvisorResultStatus
      • Quick Start Guide
        • Installation
        • Configure the SDK
        • RecognizeImageRemote
        • Food Detail
      • Guide
        • Integrate SDK Setup
        • Integrate Quick Scan
        • Integrate Food Search
        • Integrate Food Editor with Recipe
        • Integrate MealPlan
        • Integrate Suggestions
        • Integrate recognizeImageRemote
      • Components
        • DetectionCameraView
        • PassioIconView
      • Changelog
      • More
        • Display Macro Chart
          • MockFood
          • Utils PassioNutrient
        • Display Micro Progress
        • Getting nutrition value for a FoodItem
        • Getting nutrition value for a Recipe
        • Recalculate the nutrition value based on serving size options.
      • Migrations
        • Migrating from SDK 2.X to version 3.X
        • Structure Migrations From SDK 3.X to SDK 2.X
        • [Deprecated] Migrating from SDK 1.X to version 2.X
        • [Deprecated] Getting Started (v1)
          • Installation
          • SDK Initialization and Configuration
          • Start food detection
          • FoodDetectionEvent
          • Nutritional Database
      • Troubleshooting on RN
      • V2
        • Getting Started
          • Installation
          • SDK Initialization and Configuration
          • Start food detection
          • FoodDetectionEvent
        • RN SDK API
          • Properties
            • PersonalizedAlternative
            • FoodSearchResult
            • PassioNutrient
            • FoodDetectionEvent
            • DownloadModelCallBack
            • UPCProduct
            • ServingUnit
            • PassioStatus
            • PassioIDAttributes
            • PassioIDEntityType
            • PassioFoodItem
            • PassioRecipe
            • ServingSize
            • Measurement
            • UnitMass
            • NutritionFacts
        • Food Image
        • Search Food Item
        • Quick Scan
        • Multi Scan
        • MealPlan
        • Recipe
      • How do I Integrate a Passio SDK in EXPO?
    • Flutter SDK Docs
      • Getting Started
    • Before You Continue
    • Setup For Android
    • Initialize and configure the SDK
  • Fundamentals
    • Nutrition-AI Developer FAQ
      • Nutrition Data
      • Supported Phones
      • Security
      • Testing Volume Estimation
      • Testing Nutrition-AI SDK
      • Nutrition-AI Test Methodology
    • Nutrition API - Mobile SDK interoperability
      • JSON Response parsing
  • Versions
    • 3.2.4
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • 3.2.2
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • 3.2.0
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
    • 3.1.4
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
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  • Example
  • useRecognizeRemote
  • RecognizeImageRemote
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  1. Guides
  2. React Native SDK Docs
  3. Guide

Integrate recognizeImageRemote

The API below is used for food search.

  /**
   * This method detect food from image uri.
   * @param imageUri - The image uri to detect food.
   * @returns A `Promise` resolving to a `PassioAdvisorFoodInfo` array or `null`.
   */
  recognizeImageRemote(
    imageUri: string
  ): Promise<PassioAdvisorFoodInfo[] | null>

Example

useRecognizeRemote

import { useState, useCallback } from 'react'
import {
  PassioAdvisorFoodInfo,
  PassioSDK,
} from '@passiolife/nutritionai-react-native-sdk-v3'
import type { Props } from './RecognizeRemote'
import { launchImageLibrary } from 'react-native-image-picker'
import { Alert } from 'react-native'

const useRecognizeRemote = ({}: Props) => {
  const [loading, setLoading] = useState<boolean>(false)
  const [passioSpeechRecognitionModel, setPassioSpeechRecognitionModel] =
    useState<PassioAdvisorFoodInfo[] | null>()

  const onScanImage = useCallback(async () => {
    try {
      const { assets } = await launchImageLibrary({ mediaType: 'photo' })
      if (assets) {
        setLoading(true)
        setPassioSpeechRecognitionModel(null)
        PassioSDK.recognizeImageRemote(
          assets?.[0].uri?.replace('file://', '') ?? ''
        )
          .then(async (candidates) => {
            setPassioSpeechRecognitionModel(candidates)
          })
          .catch(() => {
            Alert.alert('Unable to recognized this image')
          })
          .finally(() => {
            setLoading(false)
          })
      }
    } catch (err) {
      setLoading(false)
    }
  }, [])

  return {
    onScanImage,
    passioSpeechRecognitionModel,
    loading,
  }
}

export default useRecognizeRemote

RecognizeImageRemote

import React from 'react'
import {
  ActivityIndicator,
  FlatList,
  SafeAreaView,
  StyleSheet,
  Text,
  TouchableOpacity,
  Image,
  View,
} from 'react-native'
import {
  PassioIconView,
  IconSize,
  PassioSDK,
  PassioFoodItem,
  PassioAdvisorFoodInfo,
} from '@passiolife/nutritionai-react-native-sdk-v3'
import useRecognizeRemote from './useRecognizeRemote'

export interface Props {
  onClose: () => void
  onFoodDetail: (passioFoodItem: PassioFoodItem) => void
}

// FoodSearchScreen component
export const RecognizeImageRemote = (props: Props) => {
  // Get styles object from the searchStyle function
  const styles = searchStyle()

  // Destructure values from the custom hook
  const { loading, passioSpeechRecognitionModel, onScanImage } =
    useRecognizeRemote(props)

  // Function to render each item in the FlatList
  const renderSearchItem = ({ item }: { item: PassioAdvisorFoodInfo }) => {
    return (
      <TouchableOpacity
        style={styles.itemContainer}
        onPress={async () => {
          if (item.foodDataInfo) {
            const dataInfo = await PassioSDK.fetchFoodItemForDataInfo(
              item?.foodDataInfo
            )
            if (dataInfo) {
              props.onFoodDetail(dataInfo)
            }
          }
        }}
      >
        <View style={styles.itemIconContainer}>
          <PassioIconView
            style={styles.itemIcon}
            config={{
              passioID: item?.foodDataInfo?.iconID ?? '',
              iconSize: IconSize.PX360,
            }}
          />
        </View>
        <View>
          <Text style={styles.itemFoodName}>{item?.recognizedName}</Text>
          <Text style={styles.itemFoodName}>
            {item?.portionSize + ' |  ' + item.weightGrams}
          </Text>
        </View>
      </TouchableOpacity>
    )
  }

  // Display loading indicator when results are empty and loading is true
  const renderLoading = () => {
    return <>{loading ? <ActivityIndicator /> : null}</>
  }

  // Render the component
  return (
    <SafeAreaView style={styles.body}>
      <View style={styles.closeButton}>
        <TouchableOpacity onPress={props.onClose}>
          <Image
            style={styles.closeText}
            source={require('../assets/back.png')}
          />
        </TouchableOpacity>
      </View>
      {/* Search input */}
      <TouchableOpacity onPress={onScanImage} style={styles.textInput}>
        <Text style={{ color: 'white' }}>Pick Image</Text>
      </TouchableOpacity>

      <FlatList
        data={passioSpeechRecognitionModel}
        contentContainerStyle={styles.list}
        renderItem={renderSearchItem}
        ListEmptyComponent={renderLoading}
        keyExtractor={(index) => 'item.advisorInfo?.foodDataInfo' + index}
      />
    </SafeAreaView>
  )
}

// Styles for the component
const searchStyle = () =>
  StyleSheet.create({
    closeButton: {},
    list: {
      marginTop: 16,
    },
    closeText: {
      margin: 16,
      height: 24,
      width: 24,
    },
    itemContainer: {
      padding: 12,
      flex: 1,
      marginVertical: 4,
      marginHorizontal: 16,
      backgroundColor: 'white',
      flexDirection: 'row',
      borderRadius: 24,
    },
    itemFoodName: {
      flex: 1,
      textTransform: 'capitalize',
      marginHorizontal: 8,
      fontSize: 16,
    },
    itemBrandName: {
      flex: 1,
      textTransform: 'capitalize',
      marginHorizontal: 8,
      fontSize: 12,
    },

    itemAlternativeContainer: {
      overflow: 'hidden',
    },
    alternativeContainer: {
      marginStart: 16,
      alignItems: 'center',
      overflow: 'hidden',
      alignSelf: 'center',
      backgroundColor: 'rgba(238, 242, 255, 1)',
      shadowColor: '#000',
      shadowOffset: { width: 0, height: 0.1 },
      shadowOpacity: 0.5,
      shadowRadius: 0.5,
      marginVertical: 2,
      marginBottom: 14,
      elevation: 5,
      borderRadius: 24,
    },
    itemAlternativeName: {
      textTransform: 'capitalize',
      paddingVertical: 8,
      paddingHorizontal: 16,
    },
    itemIconContainer: {
      height: 46,
      width: 46,
      borderRadius: 30,
      overflow: 'hidden',
    },
    itemIcon: {
      height: 46,
      width: 46,
    },
    textInput: {
      backgroundColor: 'blue',
      paddingHorizontal: 16,
      padding: 12,
      alignItems: 'center',
      color: 'white',
      borderRadius: 16,
      fontWeight: '500',
      fontSize: 16,
      marginHorizontal: 16,
    },
    body: {
      backgroundColor: 'rgba(242, 245, 251, 1)',
      flex: 1,
    },
  })
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Last updated 11 months ago