Suprema, a global pioneer in AI-based security solutions, has announced the supply of the latest version of the under-display ultrasonic fingerprint recognition algorithm, BioSign, to the Samsung Galaxy S24 series supported by the Qualcomm 3D Sonic Sensor Gen 2.
Since 2019, starting with the Samsung Galaxy S10, Suprema has continuously incorporated fingerprint recognition algorithms into numerous Galaxy S series, earning recognition for its world-class technological capabilities.
BioSign 6.0 version
The BioSign 6.0 version featured in the Samsung Galaxy S24 has received acclaim in the market for its significantly upgraded fingerprint recognition speed and security.
Compared to its predecessor, BioSign 5.0, BioSign 6.0 has achieved a technological innovation that simultaneously enhances speed and accuracy. It provides an improvement in accuracy and a faster response time, to greatly enhance user convenience.
AI-based fingerprint analysis
AI-based fingerprint analysis algorithm that efficiently recognises abundant fingerprint information
Particularly noteworthy is the optimised AI-based fingerprint analysis algorithm that efficiently recognises abundant fingerprint information obtained through the Qualcomm® 3D Sonic Sensor Gen-2.
"The adoption of Suprema's fingerprint recognition technology in the Samsung Galaxy smartphone series signifies significant recognition of our top-notch technological capabilities in the global market," said James Lee, Suprema Inc. Founder and Chairman.
AI-based fingerprint and facial recognition
James Lee adds, "BioSign 6.0, in particular, is being evaluated for delivering overwhelming performance and user convenience compared to existing technologies, creating expectations for market expansion."
He continues, “Our commitment to continuous advancement in fingerprint and facial recognition technology based on AI is pioneering the way in the biometric recognition market.”
Find out the state of adoption, trends and opportunities with Artificial Intelligence (AI) in physical security.
- Biometrics
- Electronic security systems
- Security access systems
- Electronic access control
- Fingerprint recognition
- Fingerprint reader
- Fingerprint scanner
- Security software
- Physical Security Information Management (PSIM)
- Integration software
- Fingerprint Locks
- Artificial intelligence (AI)
- Mobile access
- Machine Learning
