人脸核身促销活动

// 调用人脸核身API进行身份验证
async function verifyFace() {
  const imageUrl = '用户上传的照片URL';
  const realTimeVideoUrl = '实时视频流URL';

  try {
    const response = await fetch('/api/face-verification', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({ imageUrl, realTimeVideoUrl })
    });

    const result = await response.json();
    if (result.success) {
      alert('身份验证成功！');
    } else {
      alert('身份验证失败，请重试。');
    }
  } catch (error) {
    console.error('身份验证过程中发生错误:', error);
  }
}

# 使用Python和OpenCV进行人脸核身验证
import cv2
import numpy as np
from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/api/face-verification', methods=['POST'])
def face_verification():
    data = request.json
    image_url = data['imageUrl']
    real_time_video_url = data['realTimeVideoUrl']

    # 加载预训练的人脸检测模型
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    # 读取用户上传的照片和实时视频流
    user_image = cv2.imread(image_url)
    real_time_video = cv2.VideoCapture(real_time_video_url)

    # 进行人脸检测和比对
    user_face = face_cascade.detectMultiScale(user_image, 1.3, 5)
    real_time_face = face_cascade.detectMultiScale(real_time_video.read()[1], 1.3, 5)

    if len(user_face) > 0 and len(real_time_face) > 0:
        return jsonify({'success': True})
    else:
        return jsonify({'success': False})

if __name__ == '__main__':
    app.run(debug=True)