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Glen Bray

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Text detection with mobile camera using React Native and AWS Rekognition

18 June, 2018

I’ve been wanting to play around with text detection using react native along with starting writing articles such as this. So I think this is a fun little project to start with. In this post we’ll go through creating the app in the video above.

We’ll be using the following services and libs:

All code in this post can be found here https://github.com/glenbray/text-reader

This will be split up into 3 different sections

  1. Configuration
  2. UI
  3. Text detection with camera and AWS Rekognition

Configuration

First thing we’ll do is setup our environment and create the react native project.

First we’ll install create react native app.

$ npm i -g create-react-native-app

Then create a new react native project called text-reader

$ create-react-native-app text-reader && cd text-reader

Install AWS Amplify in the react native project

$ yarn add aws-amplify aws-amplify-react-native

Install AWS mobile CLI

$ npm i -g awsmobile-cli

You’ll need to configure the CLI to use your AWS credentials

$ awsmobile configure

Lets create a src directory where we’ll store some code later

$ mkdir src

Now setup the backend

$ aws mobile init

You’ll notice that will also generate a file within the src directory which will contain your configuration for your backend.

Enable the cloud api

$ awsmobile cloud-api enable && awsmobile push

Finally, we’ll set the appropriate permissions for AWS Rekognition.

From the AWS console, navigate to IAM then select roles. Select the role name that was automatically created.

In the permissions tab, press Attach Policy. In the search box, search for rekognition. We won’t worry about setting specific policies so we’ll just grant full access by using the AmazonRekognitionFullAccess role. Select that role then click Attach Policy.

Now that we have done the configuration we can move on with setting up the UI.

User Interface

What we’ll do in this section is get the app up and running without any functionality and some fake data to start off with.

Lets start with installing react native elements.

yarn add react-native-elements

Lets get started creating our components

We’ll create 3 components and save them in the /src directory.

The ConfidenceBadge component is a badge component we’ll use to display the confidence percentage of the text detection.

Both the ErrorMessage and the Loader components will be used to display an error message and loader respectively.

import React from "react";
import { Badge } from "react-native-elements";
const ConfidenceBadge = ({ confidence }) => {
let color = "green";
if (confidence < 80) color = "orange";
if (confidence < 60) color = "red";
return (
<Badge
value={`${confidence}%`}
containerStyle={{ backgroundColor: color }}
/>
);
};
export default ConfidenceBadge;
view raw ConfidenceBadge.js hosted with ❤ by GitHub
import React from "react";
import { StyleSheet, Text, View } from "react-native";
const ErrorMessage = ({ message }) => (
<View style={styles.errorContainer}>
<Text style={styles.errorText}>{message}</Text>
</View>
);
const styles = StyleSheet.create({
errorContainer: {
flex: 1,
alignItems: "center",
justifyContent: "center"
},
errorText: {
color: "red"
}
});
export default ErrorMessage;
view raw ErrorMessage.js hosted with ❤ by GitHub
import React from "react";
import { ActivityIndicator } from "react-native";
const Loader = () => {
return <ActivityIndicator size="large" color="#9013FE" />;
};
export default Loader;
view raw Loader.js hosted with ❤ by GitHub

We’ll now create a component that we’ll use to render our text detections. You’ll notice that there is an array of fake text detections which we will replace soon.

src/DetectedTextList.js

import React from "react";
import { StyleSheet, Text, View, TouchableOpacity } from "react-native";
import { Icon } from "react-native-elements";
import { Camera } from "expo";
import Loader from "./Loader";
class TextDetectingCamera extends React.Component {
state = { loading: false };
constructor(props) {
super(props);
this.camera = React.createRef();
}
takePicture = async () => {
const options = { quality: 0.5, base64: true };
const photo = await this.camera.current.takePictureAsync(options);
this.setState({ loading: true }, async () => {
try {
this.props.close({ textDetections: [] });
} catch (err) {
console.log("error", err);
alert("An error has occured");
this.props.close({ textDetections: [] });
}
});
};
render() {
if (this.state.loading) {
return (
<View style={styles.loadingContainer}>
<Loader />
</View>
);
}
return (
<Camera
ref={this.camera}
style={styles.container}
type={Camera.Constants.Type.back}
>
<React.Fragment>
<View style={styles.closeCameraButton}>
<TouchableOpacity
onPress={() => this.props.close({ textDetections: [] })}
>
<Icon reverse raised name="close" />
</TouchableOpacity>
</View>
<View style={styles.captureImageButton}>
<TouchableOpacity onPress={this.takePicture}>
<Icon
containerStyle={{ backgroundColor: "red" }}
reverse
raised
name="photo-camera"
/>
</TouchableOpacity>
</View>
</React.Fragment>
</Camera>
);
}
}
const styles = StyleSheet.create({
container: {
flex: 1
},
loadingContainer: {
flex: 1,
alignItems: "center",
justifyContent: "center"
},
closeCameraButton: {
flex: 1,
alignItems: "flex-end",
justifyContent: "flex-start"
},
captureImageButton: {
flex: 1,
alignItems: "center",
justifyContent: "flex-end"
}
});
export default TextDetectingCamera;
view raw TextDetectingCamera.js hosted with ❤ by GitHub

TextDetectingCamera component will handle capturing the image and the text detection (in next section).

src/TextDetectingCamera.js

import React from "react";
import { StyleSheet, Text, View, TouchableOpacity } from "react-native";
import { Icon } from "react-native-elements";
import { Camera } from "expo";
import Loader from "./Loader";
class TextDetectingCamera extends React.Component {
state = { loading: false };
constructor(props) {
super(props);
this.camera = React.createRef();
}
takePicture = async () => {
const options = { quality: 0.5, base64: true };
const photo = await this.camera.current.takePictureAsync(options);
this.setState({ loading: true }, async () => {
try {
this.props.close({ textDetections: [] });
} catch (err) {
console.log("error", err);
alert("An error has occured");
this.props.close({ textDetections: [] });
}
});
};
render() {
if (this.state.loading) {
return (
<View style={styles.loadingContainer}>
<Loader />
</View>
);
}
return (
<Camera
ref={this.camera}
style={styles.container}
type={Camera.Constants.Type.back}
>
<React.Fragment>
<View style={styles.closeCameraButton}>
<TouchableOpacity
onPress={() => this.props.close({ textDetections: [] })}
>
<Icon reverse raised name="close" />
</TouchableOpacity>
</View>
<View style={styles.captureImageButton}>
<TouchableOpacity onPress={this.takePicture}>
<Icon
containerStyle={{ backgroundColor: "red" }}
reverse
raised
name="photo-camera"
/>
</TouchableOpacity>
</View>
</React.Fragment>
</Camera>
);
}
}
const styles = StyleSheet.create({
container: {
flex: 1
},
loadingContainer: {
flex: 1,
alignItems: "center",
justifyContent: "center"
},
closeCameraButton: {
flex: 1,
alignItems: "flex-end",
justifyContent: "flex-start"
},
captureImageButton: {
flex: 1,
alignItems: "center",
justifyContent: "flex-end"
}
});
export default TextDetectingCamera;
view raw TextDetectingCamera.js hosted with ❤ by GitHub

To wire them all together, replace App.js at the root of the project with the following code

import React from "react";
import { StyleSheet, Text, View, TouchableOpacity } from "react-native";
import { Camera, Permissions } from "expo";
import { Icon } from "react-native-elements";
import TextDetectingCamera from "./src/TextDetectingCamera";
import DetectedTextList from "./src/DetectedTextList";
import ErrorMessage from "./src/ErrorMessage";
export default class App extends React.Component {
state = {
hasCameraPermission: false,
cameraOpen: false,
textDetections: []
};
async componentDidMount() {
const { status } = await Permissions.askAsync(Permissions.CAMERA);
this.setState({ hasCameraPermission: status === "granted" });
}
openCamera = () => {
this.setState({ cameraOpen: true });
};
closeCamera = ({ textDetections }) => {
this.setState({ cameraOpen: false, textDetections: textDetections });
};
render() {
const { hasCameraPermission, cameraOpen } = this.state;
if (!hasCameraPermission) {
return (
<ErrorMessage message="This app requires camera permissions to run" />
);
}
if (hasCameraPermission && cameraOpen) {
return <TextDetectingCamera close={this.closeCamera} />;
}
return (
<View style={styles.container}>
<DetectedTextList textDetections={this.state.textDetections} />
<View style={styles.openCameraContainer}>
<TouchableOpacity onPress={this.openCamera}>
<Icon reverse raised name="photo-camera" />
</TouchableOpacity>
</View>
</View>
);
}
}
const styles = StyleSheet.create({
container: {
flex: 1,
backgroundColor: "#fff"
},
openCameraContainer: {
alignItems: "center",
justifyContent: "flex-end",
backgroundColor: "rgba(255, 52, 40, 0.6)"
}
});
view raw App.js hosted with ❤ by GitHub

Text Detection with AWS Rekognition

We’ll now add the functionality to perform text detection.

Update DetectedTextList

We’ll first update the the component src/DetectedTextList.js

We can now remove the fake array we used earlier, then update the render method to accept the textDetections array as props.

Determine your endpoint configuration for AWS Rekognition

In the next section we’ll be adding functionality to send an image to AWS Rekognition. The code I provide below will be configured for the Australian ap-southeast-2 region so you’ll need to update the endpoints location to the appropriate region. You can find your endpoint here https://docs.aws.amazon.com/general/latest/gr/rande.html

AWS Rekognition API

Create the following file. This will send a request to AWS rekognition with the base64 of the image.

src/api.js

import Amplify, { API } from "aws-amplify";
import awsExports from "./aws-exports";
Amplify.configure({
...awsExports,
API: {
endpoints: [
{
name: "rekognition",
endpoint: "https://rekognition.ap-southeast-2.amazonaws.com",
service: "rekognition",
region: "ap-southeast-2"
}
]
}
});
async function detectText(bytes) {
const apiName = "rekognition";
const path = "/detect-text";
const body = { Image: { Bytes: bytes } };
const headers = {
"X-Amz-Target": "RekognitionService.DetectText",
"Content-Type": "application/x-amz-json-1.1"
};
const init = {
body: body,
headers: headers
};
return await API.post(apiName, path, init);
}
export { detectText };
view raw api.js hosted with ❤ by GitHub

In the previous section, I mentioned the endpoints need to be updated in the above code if you are not using the ap-southeast-2 region on AWS.

Send photo to AWS Rekognition

Finally we’ll update the component TextDetectingCamera to use the api when taking a picture.

Add the following import to the component:

import { detectText } from "./api";

then replace the takePicture function with the following code:

To run this project you’ll need a device as a camera is required. Run the following command:

yarn run start

This will allow you to run the app through the app Expo.

This app has not been tested against android.

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