Face recognition technology is becoming increasingly diverse and is rapidly entering the consumer market. At its core, face recognition is powered by artificial intelligence, specifically deep learning. When processing a face image or video, the system first detects whether a human face is present, and then extracts the unique identity features from each face.
In recent years, many companies in Xiamen have focused on developing and applying face recognition technologies. From smartphones and e-commerce payments to internet services and security monitoring, the applications of face recognition are expanding rapidly. This advancement has brought face recognition into everyday life, making it an essential part of modern convenience.
A notable example is the use of "face scanning" for ATM withdrawals. Several major banks in China have introduced online "face payment" and "face withdrawal" options. In Xiamen, some ATMs already support this feature, allowing users to withdraw cash simply by looking at the camera, entering their phone number, amount, and password. The process takes just seconds, offering a seamless and secure experience.
Smartphones like the iPhone X also leverage face recognition for unlocking and payments. Beyond that, face recognition is being used in access control systems, where employees can enter buildings or sign in simply by scanning their face. This technology is now widely adopted across various industries, enhancing efficiency and security.
At Qingwa Entrepreneurship Base, startups rely on face recognition for daily operations. Employees can automatically unlock doors and check in without any physical interaction. One such company, Pami Technology, has developed a smart access control system called “Smart Front Desk,†which streamlines entry and attendance tracking.
According to Huang Tianlin, General Manager of Pami Technology, the key to improving recognition accuracy lies in collecting large amounts of face data to train AI models. Their system is highly efficient, with recognition times under 0.02 seconds and the ability to handle multiple faces simultaneously.
Currently, dozens of enterprises, government agencies, and retail outlets across the country have adopted Pami’s “Smart Front Desk†solution. It supports functions like face-based timekeeping, visitor alerts, and even intelligent greetings through WeChat.
Looking ahead, near-infrared (NIR) face recognition is gaining traction due to its adaptability in different lighting conditions. Apple's Face ID uses infrared cameras to enhance accuracy, and in Xiamen, companies like Xiamen Face Information Technology Co., Ltd. are pushing the boundaries with their own NIR 3D face recognition technology.
This technology combines 3D depth information with 2D near-infrared imaging, enabling fast and accurate identification—under 0.8 seconds with a false positive rate as low as 0.0001%. Only a few companies globally have achieved this level of performance.
Chen Lei, a representative from Xiamen Face Information, believes that near-infrared face recognition will play a significant role in future commercial applications. The company has already applied the technology to mobile phone unlocking and payments, with plans to launch a new product called “Family Face Lock.â€
Experts predict that face recognition will continue to integrate into daily life, offering more convenience and functionality. However, concerns about privacy and data security remain. As the technology evolves, it's crucial for companies to implement strong data protection measures and build trust among users.
Face recognition is a biometric identification method that uses facial features to verify identity. It begins by detecting whether a face exists in the input image or video. If a face is found, the system determines its position, size, and the location of facial features. Then, it extracts unique identity data and compares it with known records to identify the person. This process is not only fast but also increasingly accurate, thanks to advancements in AI and machine learning.
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