What are the commonly used face databases for face recognition?

There is a special introduction to face recognition data in the encyclopedia.

The face recognition access control system is suitable for scenic spots, communities, enterprises, construction sites, hospitals and other industries.

For example, ArcSoft's facial recognition technology can be used in hotels, hospitals, communities, railway stations and other places to control and arrest criminal suspects.

The technology is widely accepted across industry verticals, namely Utilities, Military, Homeland Security, Banking, Financial Services and Insurance (BFSI), Retail, and more. In addition to being widely used for border control, facial recognition is also widely used in law enforcement in order to surreptitiously monitor people. However, in the future, facial recognition is expected to be used as an authentication method in a variety of handheld devices such as laptops, computers, and smart**.

In addition, the retail industry is expected to rapidly adopt facial recognition in terms of security, as well as monitoring of customer behavior.

In 2016, the global market value of facial recognition systems exceeded one million US dollars, and QYResearch expects that by the end of 2022, the global facial recognition system market will bring more than one million US dollars in revenue.

Facial recognition systems can be used in a variety of ways:

Face recognition access control at the gates of communities, companies, schools, etc. requires a face recognition system, such as Yunmai face recognition access control, which is controlled by dynamic face recognition technology.

It can be used in campus apartment access control, and students can verify the identity of students in the examination room through face recognition cameras to ensure that the identity of students in the examination room is consistent by swiping their faces to enter and exit the dormitory examination room.

Eat by brushing your face in the cafeteria: You can eat by brushing your face.

Face recognition for bullet train ticket inspection, etc.

From the perspective of the entire application of face recognition, 2014 was a key turning point for face recognition from theory to application, and 2018 is an important node for the comprehensive application of face recognition. From the perspective of our application field, face recognition is mainly used in the fields of finance, security and attendance access control, of which attendance access control accounts for 42%. According to the analysis of authoritative institutions, from the perspective of the development status of the face recognition industry, it is estimated that the scale of China's face recognition market accounts for about 10% of the global market, and it is expected to reach 100 million yuan by 2020, with huge market potential.

In addition to construction sites and campuses, the application scenarios of ArcSoft's face recognition products include communities, buildings, scenic spots, hotels, homes, robots, etc.

Face recognition requires the accumulation of a large amount of face image-related data to verify the algorithm and continuously improve the recognition accuracy, such as a neural network face recognition assignment, ORL face database, MIT Biology and Computational Learning Center face recognition database, University of Essex School of Computer and Electronic Engineering face recognition data, etc.