Face recognition technology is becoming increasingly diverse and is rapidly entering the consumer market. At its core, face recognition is a form of artificial intelligence that relies on deep learning algorithms. When processing an image or video, the system first detects whether a human face is present, and then extracts the unique identity features contained within it.
In Xiamen, many companies are now specializing in or involved in the development of face recognition technology. From smartphones and e-commerce payments to internet services and security monitoring, the applications of face recognition are expanding rapidly. This growing adoption has made the technology more accessible to the general public.
[Current Status]
It takes just 0.02 seconds for AI-powered systems to identify a person using deep learning. People no longer need to carry physical cards; they can simply stand in front of an ATM, look at the camera, enter their phone number, withdrawal amount, and password, and the machine will automatically dispense cash. In Xiamen, 14 Agricultural Bank branches have already implemented "face scanning" for withdrawals, making the process much easier.
In addition to banking, face recognition is being integrated into various aspects of daily life, including payment security, entertainment, access control, and attendance management. For example, at Qingwa Entrepreneurship Base, employees use face recognition to enter the building and clock in automatically. This system, known as "Smart Front Desk," is developed by Pami Technology, a startup based in the area.
According to Huang Tianlin, General Manager of Pami Technology, the company collects vast amounts of facial data from the internet to train its AI models, allowing the system to continuously improve. Their technology can recognize faces in under 0.02 seconds and supports multi-person recognition simultaneously. The system is now used by dozens of enterprises, government agencies, and retail outlets across the country for functions such as face-based check-in, visitor alerts, and intelligent greetings.
[Trends]
The future of near-infrared (NIR) technology looks promising, with face recognition applications becoming more varied. Apple's iPhone X introduced Face ID, which uses an infrared camera to solve lighting issues during facial recognition. In Xiamen, there is a company called Xiamen Face Information Technology Co., Ltd., which has developed a "near-infrared 3D face unlocking device" capable of competing with Apple's technology.
Chen Lei, a representative from the company, explained that traditional face recognition mainly relies on visible light images, but this method struggles with changes in ambient lighting. Xiamen Face Information has spent 15 years developing advanced algorithms and now offers a cutting-edge solution combining "3D depth information" with "2D near-infrared face recognition." This technology works both indoors and outdoors, even in low-light conditions, with a recognition speed under 0.8 seconds and a false positive rate of less than 0.0001%. Only a few companies globally have achieved this level of performance.
Chen added that near-infrared face recognition holds great potential for commercial applications. The company has already applied the technology to mobile phone unlocking and payments, and is set to mass-produce its new product, "Family Face Lock." Pami Technology is also introducing a "face scanning" system for employee management. Experts believe that as "face scanning" becomes more widespread, it will significantly impact daily life, adding more functions to facial recognition. However, it also raises concerns about personal data privacy, emphasizing the need for proper regulations and safeguards.
Face recognition is a biometric identification technology that uses facial features for authentication. It begins by detecting whether a face is present in an image or video, then determines the position and size of each face and the location of key facial features. Based on this information, the system extracts identity-related features and compares them against a database to determine who the person is. As this technology continues to evolve, it is reshaping how we interact with digital systems in everyday life.
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