Machine Vision - Ping An Cloud

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Ping An π Identification Platform

Provide Financial Identity Verification Services

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Ping An π Sensing IoT Integration Platform

Realize Correlation Analysis of People, Vehicle and Objects

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Industry Application

Comprehensive Finance

The comprehensive financial industry requires high-level security verification services. Users’ facial features are unrepeatable and unique. In practical application scenarios, identification and face scanning for payment services have become the new trend of the industry, with great value.

Health Care and Social Security

Based on the best practices and insights of Ping An Group into multiple business scenarios in the health care and social security industry, Ping An Smart Cognition products can provide customized identification and authentication services for the industry.

Smart Education

Online self-collection of ID photos, real-name authentication and offline on-site face scanning for entering examination rooms can be used to replace the traditional complex registration. The approach has been adopted in the college entrance examination in Guangdong Province and the postgraduate examination in Shenzhen.

Smart City

Ping An π Smart Cognition has been widely used for the smart management of public security, airports, ports, penitentiaries, buildings, communities and other scenarios by providing a wide range of smart city solutions from basic cloud computing service to AI smart control.

Success Stories

Discovery Bank,South Africa

Discovery Bank, South Africa, can ensure the financial security of Discovery Bank in all scenarios by introducing the Ping An technology facial recognition system etc. in the APP core.

Siam Commercial Bank of Thailand (SCB)

SCB, the second largest bank in Thailand, safeguards its financial security in all scenarios by adopting Ping An Technology’s facial recognition technology for identification on its APP and daily VIP management in its outlets.

LU.com

LU.com ensures transaction security by using our facial recognition technology for identification when it comes to operations such as changing cards online, resetting transaction password, fast card binding to remove transaction limits, and verification for login exception.

Ping An Securities

In order to solve the original manual audit and remote real name identification problem, Ping An Securities introduced facial recognition into the online business scenarios such as online stock account opening, policy opening, and A shares account opening to assist with customer identification, and significantly improve the business efficiency.

Ministry of Human Resources and Social Security of China (MOHRSS)

The technology of facial recognition, comparison and authentication adopted by many projects of the MOHRSS has replaced the traditional offline manual review of pension drawing, making identification more efficient and accurate.

HR and Social Security Bureau of Shenzhen Municipality

The human resources and social security bureaux of Shenzhen Municipality and many other regions have replaced the traditional offline manual review of pension drawing with the technology of facial recognition, comparison and authentication, making identification more efficient and accurate.

HR and Social Security Bureau of Jiangxi Municipality

The human resources and social security bureaux of Jiangxi Municipality and many other regions have replaced the traditional offline manual review of pension drawing with the technology of facial recognition, comparison and authentication, making identification more efficient and accurate.

Ping An Medical Insurance Technology

At present, it provides citizens with a fast channel for healthcare services since it is mainly applied to scheduling appointments by scanning face and facial identification before hospital visits to prevent fake and surrogate diagnosis, as well as to printing diagnosis reports by scanning face.

Education Examinations Authority of Guangdong Province

The institution has transferred services such as registration, score query and certificate printing of all examinations to the mobile terminal, enabling examinees to go through the whole process online and improving the efficiency of examination-related work.

Shanghai Municipal Educational Examinations Authority

The institution has used the facial recognition technology to ensure precise examinee identification in the National Computer Rank Examination, effectively deterring surrogate exam-takers.

Shenzhen Municipal Recruitment and Examination Office

The office has implemented online registration and confirmation and offline face scanning for examination in the Unified National Graduate Entrance Examination to effectively reduce the pressure of offline registration and confirmation and further improve examinee identification.

Ping An Financial Center

Ping An Financial Center has fully applied face scanning for attendance registration since 2017 to admit employees without a work card and refuse the admission of unidentified visitors who haven’t made appointments online, thus reducing office management risks and improving the security of the center.

Functionality

Face Detection

Based on deep learning technology and the extraction of facial features, the technology can quickly detect the number of faces in a picture and precisely locate each face.

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Face Comparison

Two faces are compared to get their similarity and determine if they are the same person.

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Biometric Detection

Biometric detection is used to determine whether the operator is a real person to effectively forbid cheating attacks that use pictures, videos and HD selfies for face scanning.

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Face and ID Card Comparison

The name and the ID number on an ID card are verified to determine whether they refer to the same person. The operator’s face and the photo on his or her ID card are compared to determine whether the ID card belongs to the operator.

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Face Searching

Searching a given group of faces to locate the one most similar to the face in a given picture and generate the similarity to identify the person in the given picture.

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Face Analysis

Information of the person in a picture can be analyzed, including age, gender, skin colour and wearing glasses or not.

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Service Modes

API

Fifteen online APIs can be easily invoked to quickly locate a face for 1:1 face comparison, thus effectively combating spoofing attacks and enabling the building of a database with millions of faces as well as fast and precise 1: N face location.

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SDK

SDK is used for APP development and integration, which supports face detection, quality assessment, designated motion detection, and motion liveness detection. Used together with APIs, it can realize high-security face recognition.

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Private Deployment

It is deployed to a client’s local server for detection of a face in a picture and key point and attribute recognition, supports distributed high-concurrency business processing, and is applicable to security scenarios. It provides two private solutions: all-in-one machine and software deployment package.

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