"brush face" era AI blessing wisdom education
In today's era of "brushing face" prevailing, the school's examination site has increased the holding of AI technology, the recognition rate and accuracy rate is much higher than the manual method. Photo collection of nearly 10,000 candidates, face recognition technology self-collection can save 91.1% labor costs. The AI ​​blessing will make the national educational system more intelligent. The 2018 National Graduate Examination was held recently, and the Shenzhen Graduate Examination Face Recognition Project was finally successfully launched. The Shenzhen Postgraduate Exam used Ping An’s face recognition technology when registering for photos and candidates. It is the first time in the national exam-level exam to apply face recognition technology for online photo collection and offline admission. . Ping An Science and Technology introduced, this test is the test room teacher to use the device to directly scan the face of the candidate to enter the field, without the candidate to swipe the ID card or press the fingerprint and then brush the face, brushing the face only takes 1 second to feedback the results, in the process of use, Get consistent feedback from the teacher: the software is easy to use, fast and accurate, and is more convenient than traditional verification. According to the interviews of the candidates who participated in this master's exam, each candidate only needs 6 minutes to complete all the processes. Compared with the original report, it is necessary to collect the information on the spot. The face verification greatly shortens the requirements of the original process. hour. In addition, the reporter communicated with the on-site invigilator and learned that in the registration period of the study, the labor cost was compared with the manual verification. The photo collection of nearly 10,000 candidates, the self-collection of face recognition technology can save 91.1%. At the on-site entrance examination, the teacher does not need to compare the traditional documents and the test identity through the human eye, and the students do not have to worry about delaying the test because they forget to take the admission ticket, ID card or other documents. It is reported that after using Ping An Technology's face recognition technology, each candidate's verification pass time is shortened to an average of 3.5 seconds/person. More importantly, in this master's exam, Ping An's face recognition system effectively intercepted three suspicious candidates, and the recognition rate and accuracy rate were much higher than the manual method. With the WeChat electronic ID card, Alipay brush face into the subway, as well as the long-awaited ATM brush face withdrawal, remote account opening and other face recognition, computer vision (CV) technology application mature, we can say that has entered the brush The era of the face. However, the maturity of technology means that fierce competition is accompanied. Star-based startups are step by step, and the traditional giants who master the data in key areas are battling for the entrance of machine vision. In this context, what advantages does Ping An Technology have in its ability to incite security, education and other fields outside of finance? First of all, based on the high security standards of this level of education examinations, Ping An Science and Technology face recognition data comparison, directly docked to the Ministry of Public Security face database for identity verification. This data reserve and security is unmatched by other companies. “This postgraduate exam is the first time to use online self-collection to collect photos. By verifying the identity of candidates with the base map of the public security library, candidates can complete the online registration process themselves.†In addition, Ping An Technology provides secure and stable cloud storage at the financial level to ensure the security of relevant data. Ping An Technology and the Recruitment Office also ensure the security of data on face recognition devices by implementing closed-loop monitoring on the test process. The key point is that from the perspective of "technology", it is not surprising that today's research and selection of Ping An technology. According to previous interviews with Ping An Science and Technology related interviewees, the face recognition algorithm has obvious core advantages, and has excellent computing power and independent leading algorithms. In addition, in May of this year, Ping An Technology's face recognition team is in the international authority face. In the identification of the public test set LFW, 99.8% of the face verification test under unrestricted conditions was also obtained. In addition, Ping An has enough computer vision and engineering talents and reasonable architecture. It is very easy and efficient to introduce these architectural models into various subdivision scenarios. It can be said that from finance to security, education, and smart cities, Ping An Technology will export its technical capabilities for many years through the cloud service platform. On the one hand, it is the road to self-rescue in the face of financial technology innovation and change. On the other hand, this It is not a technical level of financial excellence in all areas of smart cities. 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