{"id":9270,"date":"2024-11-15T04:33:25","date_gmt":"2024-11-14T20:33:25","guid":{"rendered":"https:\/\/fwq.ai\/blog\/9270\/"},"modified":"2024-11-15T04:33:25","modified_gmt":"2024-11-14T20:33:25","slug":"%e7%be%8e%e5%9b%bdkyc%e5%92%8c%e8%ba%ab%e4%bb%bd%e9%aa%8c%e8%af%81%e7%9a%84%e6%9c%80%e6%96%b0%e6%8a%80%e6%9c%af","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/9270\/","title":{"rendered":"\u7f8e\u56fdKYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u7684\u6700\u65b0\u6280\u672f"},"content":{"rendered":"

\u7f8e\u56fdKYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u7684\u6700\u65b0\u6280\u672f<\/h1>\n

\u5728\u6570\u5b57\u5316\u65f6\u4ee3\uff0c\u8eab\u4efd\u9a8c\u8bc1\u548cKYC\uff08\u4e86\u89e3\u60a8\u7684\u5ba2\u6237\uff09\u6d41\u7a0b\u53d8\u5f97\u6108\u53d1\u91cd\u8981\u3002\u5c24\u5176\u662f\u5728\u7f8e\u56fd\uff0c\u968f\u7740\u91d1\u878d\u79d1\u6280\u7684\u8fc5\u731b\u53d1\u5c55\uff0c\u4f01\u4e1a\u548c\u673a\u6784\u9762\u4e34\u7740\u8d8a\u6765\u8d8a\u4e25\u683c\u7684\u5408\u89c4\u8981\u6c42\u3002\u672c\u6587\u5c06\u63a2\u8ba8\u7f8e\u56fdKYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u7684\u6700\u65b0\u6280\u672f\u53ca\u5176\u5e94\u7528\u3002<\/p>\n

KYC\u7684\u5b9a\u4e49\u4e0e\u91cd\u8981\u6027<\/h2>\n

KYC\u662f\u201c\u4e86\u89e3\u60a8\u7684\u5ba2\u6237\u201d\u7684\u7f29\u5199\uff0c\u6307\u7684\u662f\u91d1\u878d\u673a\u6784\u5728\u4e0e\u5ba2\u6237\u5efa\u7acb\u4e1a\u52a1\u5173\u7cfb\u4e4b\u524d\uff0c\u5fc5\u987b\u5bf9\u5ba2\u6237\u7684\u8eab\u4efd\u8fdb\u884c\u9a8c\u8bc1\u7684\u8fc7\u7a0b\u3002KYC\u7684\u4e3b\u8981\u76ee\u7684\u662f\u9632\u6b62\u6d17\u94b1\u3001\u6b3a\u8bc8\u548c\u5176\u4ed6\u91d1\u878d\u72af\u7f6a\u3002\u901a\u8fc7\u6709\u6548\u7684KYC\u6d41\u7a0b\uff0c\u4f01\u4e1a\u80fd\u591f\u786e\u4fdd\u5176\u5ba2\u6237\u7684\u8eab\u4efd\u771f\u5b9e\u53ef\u9760\uff0c\u4ece\u800c\u964d\u4f4e\u98ce\u9669\u3002<\/p>\n

\u6700\u65b0\u6280\u672f\u5728KYC\u4e2d\u7684\u5e94\u7528<\/h2>\n

1. \u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60<\/h3>\n

\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u548c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u6280\u672f\u5728KYC\u6d41\u7a0b\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002\u8fd9\u4e9b\u6280\u672f\u80fd\u591f\u5206\u6790\u5927\u91cf\u6570\u636e\uff0c\u8bc6\u522b\u6f5c\u5728\u7684\u98ce\u9669\u548c\u5f02\u5e38\u884c\u4e3a\u3002\u4f8b\u5982\uff0cAI\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u5ba2\u6237\u7684\u4ea4\u6613\u6a21\u5f0f\uff0c\u81ea\u52a8\u6807\u8bb0\u51fa\u53ef\u7591\u4ea4\u6613\uff0c\u4ece\u800c\u63d0\u9ad8\u76d1\u63a7\u6548\u7387\u3002<\/p>\n

\u6848\u4f8b\u5206\u6790<\/h4>\n

\u67d0\u91d1\u878d\u79d1\u6280\u516c\u53f8\u5229\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5bf9\u5ba2\u6237\u7684\u4ea4\u6613\u6570\u636e\u8fdb\u884c\u5206\u6790\uff0c\u6210\u529f\u8bc6\u522b\u51fa\u4e00\u7cfb\u5217\u5f02\u5e38\u4ea4\u6613\uff0c\u53ca\u65f6\u91c7\u53d6\u63aa\u65bd\uff0c\u907f\u514d\u4e86\u6f5c\u5728\u7684\u635f\u5931\u3002\u8fd9\u79cd\u6280\u672f\u7684\u5e94\u7528\u4e0d\u4ec5\u63d0\u9ad8\u4e86KYC\u7684\u6548\u7387\uff0c\u8fd8\u964d\u4f4e\u4e86\u4eba\u5de5\u5ba1\u6838\u7684\u6210\u672c\u3002<\/p>\n

2. \u751f\u7269\u8bc6\u522b\u6280\u672f<\/h3>\n

\u751f\u7269\u8bc6\u522b\u6280\u672f\uff0c\u5982\u6307\u7eb9\u8bc6\u522b\u3001\u9762\u90e8\u8bc6\u522b\u548c\u8679\u819c\u626b\u63cf\uff0c\u6b63\u5728\u6210\u4e3aKYC\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u8fd9\u4e9b\u6280\u672f\u80fd\u591f\u63d0\u4f9b\u66f4\u9ad8\u7684\u5b89\u5168\u6027\u548c\u51c6\u786e\u6027\uff0c\u786e\u4fdd\u5ba2\u6237\u8eab\u4efd\u7684\u771f\u5b9e\u6027\u3002<\/p>\n

\u6280\u672f\u5b9e\u73b0<\/h4>\n
\nimport cv2\nimport numpy as np\n\n# \u52a0\u8f7d\u9884\u8bad\u7ec3\u7684\u9762\u90e8\u8bc6\u522b\u6a21\u578b\nface_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n\n# \u8bfb\u53d6\u56fe\u50cf\nimg = cv2.imread('client_image.jpg')\ngray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n\n# \u68c0\u6d4b\u9762\u90e8\nfaces = face_cascade.detectMultiScale(gray, 1.1, 4)\n\n# \u7ed8\u5236\u77e9\u5f62\u6846\nfor (x, y, w, h) in faces:\n    cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)\n\ncv2.imshow('Detected Faces', img)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u91d1\u878d\u673a\u6784\u53ef\u4ee5\u5728\u5ba2\u6237\u5f00\u6237\u65f6\u8fdb\u884c\u5b9e\u65f6\u8eab\u4efd\u9a8c\u8bc1\uff0c\u786e\u4fdd\u5ba2\u6237\u7684\u8eab\u4efd\u4fe1\u606f\u4e0e\u5176\u751f\u7269\u7279\u5f81\u76f8\u7b26\u3002<\/p>\n
3. \u533a\u5757\u94fe\u6280\u672f<\/h3>\n
\u533a\u5757\u94fe\u6280\u672f\u4e3aKYC\u63d0\u4f9b\u4e86\u4e00\u79cd\u53bb\u4e2d\u5fc3\u5316\u7684\u89e3\u51b3\u65b9\u6848\u3002\u901a\u8fc7\u533a\u5757\u94fe\uff0c\u5ba2\u6237\u7684\u8eab\u4efd\u4fe1\u606f\u53ef\u4ee5\u5b89\u5168\u5730\u5b58\u50a8\u5728\u5206\u5e03\u5f0f\u8d26\u672c\u4e2d\uff0c\u786e\u4fdd\u6570\u636e\u7684\u4e0d\u53ef\u7be1\u6539\u6027\u548c\u900f\u660e\u6027\u3002\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u6570\u636e\u7684\u5b89\u5168\u6027\uff0c\u8fd8\u51cf\u5c11\u4e86\u91cd\u590d\u9a8c\u8bc1\u7684\u9700\u6c42\u3002<\/p>\n
\u5e94\u7528\u5b9e\u4f8b<\/h4>\n
\u4e00\u4e9b\u521d\u521b\u516c\u53f8\u6b63\u5728\u63a2\u7d22\u57fa\u4e8e\u533a\u5757\u94fe\u7684KYC\u89e3\u51b3\u65b9\u6848\uff0c\u5141\u8bb8\u5ba2\u6237\u5728\u4e0d\u540c\u7684\u91d1\u878d\u673a\u6784\u4e4b\u95f4\u5171\u4eab\u5176\u8eab\u4efd\u4fe1\u606f\uff0c\u800c\u65e0\u9700\u6bcf\u6b21\u90fd\u8fdb\u884c\u91cd\u590d\u9a8c\u8bc1\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u7528\u6237\u4f53\u9a8c\uff0c\u8fd8\u964d\u4f4e\u4e86\u5408\u89c4\u6210\u672c\u3002<\/p>\n
\u603b\u7ed3<\/h2>\n
\u968f\u7740\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0c\u7f8e\u56fd\u7684KYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u6d41\u7a0b\u6b63\u5728\u7ecf\u5386\u6df1\u523b\u7684\u53d8\u9769\u3002\u4eba\u5de5\u667a\u80fd\u3001\u751f\u7269\u8bc6\u522b\u548c\u533a\u5757\u94fe\u7b49\u65b0\u5174\u6280\u672f\u7684\u5e94\u7528\uff0c\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u8eab\u4efd\u9a8c\u8bc1\u7684\u6548\u7387\u548c\u5b89\u5168\u6027\uff0c\u4e5f\u4e3a\u91d1\u878d\u673a\u6784\u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u5408\u89c4\u5de5\u5177\u3002\u7c73\u4e91\u4e0d\u662f\u91d1\u878d\u673a\u6784\uff0c\u4e0d\u8981\u6c42KYC\u3002\u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee\u6211\u4eec\u7684\u7f51\u7ad9<\/a>\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u7f8e\u56fdKYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u7684\u6700\u65b0\u6280\u672f \u5728\u6570\u5b57\u5316\u65f6\u4ee3\uff0c\u8eab\u4efd\u9a8c\u8bc1\u548cKYC\uff08\u4e86\u89e3\u60a8\u7684\u5ba2\u6237\uff09\u6d41\u7a0b\u53d8\u5f97\u6108\u53d1\u91cd\u8981\u3002\u5c24\u5176\u662f\u5728\u7f8e\u56fd\uff0c\u968f\u7740\u91d1\u878d\u79d1\u6280\u7684\u8fc5\u731b\u53d1\u5c55\uff0c\u4f01\u4e1a\u548c\u673a\u6784\u9762\u4e34\u7740\u8d8a\u6765\u8d8a\u4e25\u683c\u7684\u5408\u89c4\u8981\u6c42\u3002\u672c\u6587\u5c06\u63a2\u8ba8\u7f8e\u56fdKYC\u548c\u8eab\u4efd\u9a8c\u8bc1\u7684\u6700\u65b0\u6280\u672f\u53ca\u5176\u5e94\u7528\u3002 KYC\u7684\u5b9a\u4e49\u4e0e\u91cd\u8981\u6027 KYC\u662f\u201c\u4e86\u89e3\u60a8\u7684\u5ba2\u6237\u201d\u7684\u7f29\u5199\uff0c\u6307\u7684\u662f\u91d1\u878d\u673a\u6784\u5728\u4e0e\u5ba2\u6237\u5efa\u7acb\u4e1a\u52a1\u5173\u7cfb\u4e4b\u524d\uff0c\u5fc5\u987b\u5bf9\u5ba2\u6237\u7684\u8eab\u4efd\u8fdb\u884c\u9a8c\u8bc1\u7684\u8fc7\u7a0b\u3002KYC\u7684\u4e3b\u8981\u76ee\u7684\u662f\u9632\u6b62\u6d17\u94b1\u3001\u6b3a\u8bc8\u548c\u5176\u4ed6\u91d1\u878d\u72af\u7f6a\u3002\u901a\u8fc7\u6709\u6548\u7684KYC\u6d41\u7a0b\uff0c\u4f01\u4e1a\u80fd\u591f\u786e\u4fdd\u5176\u5ba2\u6237\u7684\u8eab\u4efd\u771f\u5b9e\u53ef\u9760\uff0c\u4ece\u800c\u964d\u4f4e\u98ce\u9669\u3002 \u6700\u65b0\u6280\u672f\u5728KYC\u4e2d\u7684\u5e94\u7528 1. \u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60 \u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u548c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u6280\u672f\u5728KYC\u6d41\u7a0b\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002\u8fd9\u4e9b\u6280\u672f\u80fd\u591f\u5206\u6790\u5927\u91cf\u6570\u636e\uff0c\u8bc6\u522b\u6f5c\u5728\u7684\u98ce\u9669\u548c\u5f02\u5e38\u884c\u4e3a\u3002\u4f8b\u5982\uff0cAI\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u5ba2\u6237\u7684\u4ea4\u6613\u6a21\u5f0f\uff0c\u81ea\u52a8\u6807\u8bb0\u51fa\u53ef\u7591\u4ea4\u6613\uff0c\u4ece\u800c\u63d0\u9ad8\u76d1\u63a7\u6548\u7387\u3002 \u6848\u4f8b\u5206\u6790 \u67d0\u91d1\u878d\u79d1\u6280\u516c\u53f8\u5229\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5bf9\u5ba2\u6237\u7684\u4ea4\u6613\u6570\u636e\u8fdb\u884c\u5206\u6790\uff0c\u6210\u529f\u8bc6\u522b\u51fa\u4e00\u7cfb\u5217\u5f02\u5e38\u4ea4\u6613\uff0c\u53ca\u65f6\u91c7\u53d6\u63aa\u65bd\uff0c\u907f\u514d\u4e86\u6f5c\u5728\u7684\u635f\u5931\u3002\u8fd9\u79cd\u6280\u672f\u7684\u5e94\u7528\u4e0d\u4ec5\u63d0\u9ad8\u4e86KYC\u7684\u6548\u7387\uff0c\u8fd8\u964d\u4f4e\u4e86\u4eba\u5de5\u5ba1\u6838\u7684\u6210\u672c\u3002 2. \u751f\u7269\u8bc6\u522b\u6280\u672f \u751f\u7269\u8bc6\u522b\u6280\u672f\uff0c\u5982\u6307\u7eb9\u8bc6\u522b\u3001\u9762\u90e8\u8bc6\u522b\u548c\u8679\u819c\u626b\u63cf\uff0c\u6b63\u5728\u6210\u4e3aKYC\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u8fd9\u4e9b\u6280\u672f\u80fd\u591f\u63d0\u4f9b\u66f4\u9ad8\u7684\u5b89\u5168\u6027\u548c\u51c6\u786e\u6027\uff0c\u786e\u4fdd\u5ba2\u6237\u8eab\u4efd\u7684\u771f\u5b9e\u6027\u3002 \u6280\u672f\u5b9e\u73b0 import cv2 import numpy as np # \u52a0\u8f7d\u9884\u8bad\u7ec3\u7684\u9762\u90e8\u8bc6\u522b\u6a21\u578b face_cascade = cv2.CascadeClassifier(‘haarcascade_frontalface_default.xml’) # \u8bfb\u53d6\u56fe\u50cf img = cv2.imread(‘client_image.jpg’) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # \u68c0\u6d4b\u9762\u90e8 faces = face_cascade.detectMultiScale(gray, 1.1, 4) # \u7ed8\u5236\u77e9\u5f62\u6846 for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x+w, y+h), […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-9270","post","type-post","status-publish","format-standard","hentry","category-kyc"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/9270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=9270"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/9270\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=9270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=9270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=9270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}