Core demands
As we all know, the recruitment platform has always fought against false information and fraud. How to better improve the audit mechanism, ensure the authenticity of the platform information, and provide higher security for users has always been the foundation and core of the recruitment platform. In addition, it is also an important demand of the recruitment platform to change the traditional information audit mode and improve the efficiency of information audit in the Internet era by introducing new technical means. This time, LaGou applied face recognition, a new technology, to the review, which is a major attempt of the recruitment platform to upgrade enterprise information security and promote user protection.
Solution
Introducing Baidu AI collaboration module, on the basis of the verification of the original business license, corporate email, and financial corporate account, the enterprise and recruiter identity review mechanism adds face recognition, which is specifically reflected in: judging the user as a real person through off-line hybrid live detection; By comparing the public security identity image with the real person image, we can judge whether the user is the user, so as to complete the online user identity verification.
1. At this stage, Baidu AI cooperation section - "ID card":
-ID card photo collection, OCR identification and ID card information extraction
-Offline live detection, comparing with the chevron map in the public security system library for identity verification
-Support SDK and H5 integration
2. Follow up cooperation direction:
-Use OCR and image recognition to improve audit efficiency, including but not limited to business license, work license, in-service certificate, etc
-Use OCR and natural language processing for risk control, including but not limited to online resumes, attached resumes, chat records, etc
-Application of offline activity of face recognition check-in and application of C-end user registration
