CONTACTLESS BIOMETRICS TECHNOLOGY MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)
Contactless Biometrics Technology Market, By Technology (Facial Recognition, Iris Recognition, Vein Recognition, Palm Recognition, and Others), By Application (Government and Law Enforcement, Banking and Financial Services, Healthcare, Retail and E-commerce, Travel and Immigration, and Others), By End User (Public Sector and Private Sector), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)
In March 2023, IDEMIA, a global leader in identity technologies, unveiled enhanced versions of its biometric devices, OneLook Gen2 and MorphoWave TP. These advanced solutions are designed to expedite traveler identity verification processes, focusing on providing faster, more secure, and seamless biometric verification experiences.
In June 2022, Moqi (moqi.com.cn), a leading AI technologies and platform company based in China, launched new contactless biometric solutions designed to address heightened concerns about the transmission of COVID-19 and other contagions. These innovative offerings aim to provide secure and hygienic personal authentication methods, leveraging advanced technologies such as facial recognition, iris scanning, and contactless fingerprinting.
In January 2022, IDEMIA, a global leader in identity technologies, launched two new generations of contactless fingerprint terminals, the MorphoWave XP and MorphoWave SP. These advanced devices are equipped with software integrations for access control platforms and physical integrations with leading gates and turnstile manufacturers, facilitating seamless and secure biometric authentication in various environments.
In January 2021, Fujitsu Laboratories, Ltd., a subsidiary of Fujitsu Limited (TSE: 6702), a global information and communication technology company, unveiled a multi-factor biometric authentication technology designed to deliver an innovative and secure shopping experience for the "New Normal" era. This technology combines non-contact biometrics that utilize facial data for verification with identification conducted through palm vein recognition. With an accuracy of greater than 99%, this solution enables identification even when users are wearing masks, making it ideal for contactless retail environments.