How the uniapp application implements face recognition and identity verification

How uniapp application implements face recognition and identity verification

In recent years, with the rapid development of artificial intelligence technology, face recognition and identity verification have become many Important features in the application. In uniapp development, we can use the cloud functions and uni-app plug-ins provided by uniCloud cloud development to implement face recognition and identity verification.

1. Implementation of face recognition

1. Preparation work
   First, we need to introduce the uni-app plug-in uview-ui and perform it in the manifest.json file of the project Configuration, set uview-ui as a global plug-in. Then, we also need to register an AppId and ApiSecret and apply for the face recognition interface. These are all preliminary preparations.
2. Page design
   In uni-app, we can use vue to design the page. First, we create a page for the face recognition function, including a button to trigger face recognition:

<template>
  <view>
    <text>点击按钮进行人脸识别</text>
    <button @click="startFaceRecognition">开始识别</button>
  </view>
</template>

<script>
  export default {
    methods: {
      startFaceRecognition() {
        // 调用人脸识别功能
      }
    }
  }
</script>

3. Calling the face recognition function
   In the startFaceRecognition method, we You need to call uniCloud cloud functions to implement face recognition. The sample code is as follows:

startFaceRecognition() {
  uni.showLoading({
    title: '加载中...'
  })
  uniCloud.callFunction({
    name: 'faceRecognition',
    data: {
      // 传递参数
    },
    success: function (res) {
      uni.hideLoading()
      console.log(res.result)
      // 处理返回结果
    },
    fail: function (error) {
      uni.hideLoading()
      console.log(error)
      // 处理错误
    }
  })
}

4. Cloud function implementation
   In the cloud function, we need to call the face recognition interface and return the recognition results to the front-end interface. The sample code is as follows:

'use strict'
const cloud = require('wx-server-sdk')
const axios = require('axios')

cloud.init({
  env: cloud.DYNAMIC_CURRENT_ENV
})

exports.main = async (event, context) => {
  const { APP_ID, API_KEY, API_SECRET } = cloud.getWXContext().ENV
  const imgUrl = '待识别的人脸图片地址'
  
  const res = await axios.post('http://api.xx.com/faceRecognition', {
    api_id: APP_ID,
    api_key: API_KEY,
    api_secret: API_SECRET,
    image_url: imgUrl
  })

  return res.data
}

5. Processing the returned results
   In the front-end interface, we can process the corresponding logic based on the results returned by the cloud function, such as displaying the recognition results or prompting the user to re- Identify. The specific operation is omitted.

2. Implementation of Authentication
In uni-app, we can implement the authentication function by calling a third-party authentication service.

1. Preparation
   First, we need to register and apply for an API for the authentication service. Many companies and developers can provide this service, and we can choose the appropriate service and obtain the API Key.
2. Page design
   Similarly, we create a page for the authentication function, including a button to trigger the authentication:

<template>
  <view>
    <text>点击按钮进行身份验证</text>
    <button @click="startIdentityVerification">开始验证</button>
  </view>
</template>

<script>
  export default {
    methods: {
      startIdentityVerification() {
        // 调用身份验证功能
      }
    }
  }
</script>

3. Call the authentication function
   In the startIdentityVerification method, we can use the uni-request plug-in to call the third-party authentication API. The sample code is as follows:

const uniRequest = require('uni-request')

startIdentityVerification() {
  uniRequest.get('https://api.xx.com/verifyIdentity', {
    params: {
      api_key: 'YOUR_API_KEY',
      // 其他参数
    }
  }).then((res) => {
    console.log(res.data)
    // 处理返回结果
  }).catch((error) => {
    console.log(error)
    // 处理错误
  })
}

4. Processing return results
   In the front-end interface, we can process the corresponding logic based on the return results of the third-party authentication API, such as displaying the verification results or Prompts the user to re-authenticate. The specific operation is omitted.

The above is how to use uniCloud cloud development and uni-request plug-in to implement face recognition and identity verification. In the actual development process, we need to perform corresponding configuration and implementation based on specific needs and service provider's documents. Hope the above content is helpful to you!

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