Overview

Relying on the accumulation of huge amounts of data in the Internet era, the field of artificial intelligence has developed rapidly in recent years. The State Council issued the "New Generation Artificial Intelligence Development Plan" in July 2017, proposing a clear "three-step strategic goal", taking 2020, 2025, and 2030 as the nodes to promote the development of artificial intelligence in the economy and society in stages. Application and development, try to gradually upgrade traditional industries with intelligence, promote urban development, and finally realize the transformation goal of intelligent economy and intelligent society.

At present, Orange Cube's breakthroughs in artificial intelligence technology mainly focus on the technical assistance of image recognition, especially the subdivision of face recognition as the main field of deep cultivation. Through the accumulation of experience in multiple banking and financial projects, Orange Cube has given full play to the traditional With the advantages of banking and financial technology, by fully investigating the needs of consumer finance sub-scenarios in the "Intelligent Era", assisted in the development and launch of a face recognition project with "financial security + AI" as the main goal. In the process of cooperating with financial technology companies, Orange Cube has made use of its special expertise in the financial field, conducted in-depth research on security prevention and control, and provided important support in improving the accuracy of face recognition technology and strengthening financial security risk control.

Features and Benefits

Orange Cube will help complete the identity authentication process related to face recognition, including access to dozens of business scenarios such as remote account opening, card verification, account login, installment shopping, face attendance, and face payment. We can foresee that face recognition technology in the context of consumer finance may change people's long-standing financial consumption habits and provide more convenient and secure ultimate services in future financial scenarios.

In addition, face recognition technology has huge market prospects and application needs in many fields of the current society. Whether it is based on personal assistant services, security protection, or autonomous driving, medical and health fields, the intelligent application prospects of face recognition are broad and huge.

In the process of image acquisition, a high degree of automation and intelligence can be achieved, without the special cooperation of individuals or groups, and face images can be acquired and recognized in a natural state.

The accuracy of face recognition is as high as 95%, which is extremely important for financial consumption scenarios with extremely high security requirements.

Its accurate and rapid identification ability can help improve customer acquisition rate and significantly reduce labor costs.

It can be widely used in many financial and life scenarios, and its market application prospects are huge in the future.

Application scenarios

With the help of random forest classifier, real-time capture of eye position, accurate analysis of eye movement

With the help of the experience and data accumulated by face recognition in multiple fields and scenes, it can be better applied to the field of micro-expressions

Use deep learning to train various models to capture faces more quickly and efficiently

Using the combination of AU features, the original 7 basic expressions are added, and three new emotional standards of impatience and helplessness are combined.