


How the uniapp application implements face recognition and identity verification
Oct 18, 2023 am 08:03 AMHow 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
- 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. - 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>點擊按鈕進行人臉識別</text> <button @click="startFaceRecognition">開始識別</button> </view> </template> <script> export default { methods: { startFaceRecognition() { // 調(diào)用人臉識別功能 } } } </script>
- 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: '加載中...' }) uniCloud.callFunction({ name: 'faceRecognition', data: { // 傳遞參數(shù) }, success: function (res) { uni.hideLoading() console.log(res.result) // 處理返回結(jié)果 }, fail: function (error) { uni.hideLoading() console.log(error) // 處理錯誤 } }) }
- 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 = '待識別的人臉圖片地址' 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 }
- 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.
- 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. - Page design
Similarly, we create a page for the authentication function, including a button to trigger the authentication:
<template> <view> <text>點擊按鈕進行身份驗證</text> <button @click="startIdentityVerification">開始驗證</button> </view> </template> <script> export default { methods: { startIdentityVerification() { // 調(diào)用身份驗證功能 } } } </script>
- 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', // 其他參數(shù) } }).then((res) => { console.log(res.data) // 處理返回結(jié)果 }).catch((error) => { console.log(error) // 處理錯誤 }) }
- 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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