#WLD# The main function of WLD iris scanning is identity verification and recognition, which is widely used in multiple scenarios. Iris scanning technology verifies identity by detecting the unique texture features of the iris, and it has high accuracy, stability, and privacy. The specific application scenarios of WLD iris scanning are as follows.

High-security level places: Iris recognition technology is commonly used in high-security level places such as banks, government agencies, and military facilities, to ensure that only authorized personnel can enter.
Unable to use face recognition: In some cases, such as after plastic surgery or when wearing protective equipment in the work environment, iris recognition becomes the only form of identity verification.
Airports and customs: Iris recognition technology is widely used in places such as airports and customs that require precise identity verification, ensuring the safety of passengers and goods‌.
Online trading and financial security: Iris recognition technology is used in online trading and the financial sector to provide high-precision identity verification and protect user funds security.
Construction real-name authentication: In the construction industry, iris recognition technology is used for the real-name management of migrant workers to ensure the authenticity of their identities and prevent wage arrears.
Education Exams: In exams, iris recognition technology is used to prevent cheating and impersonation, ensuring the fairness of the exam.
VR games and industrial applications: Iris recognition can be combined with VR devices for player identity verification or for identity authentication in industrial applications.
The advantages of iris recognition technology lie in its high precision, stability, and privacy. As an internal organ of the human body, the iris has unique and difficult-to-replicate characteristics, making iris recognition technology highly secure. In addition, iris recognition requires active user cooperation to complete information collection, which pays more attention to user privacy protection compared to face recognition.