Suprema, a global leader in access control and biometrics, has launched Biostation 2a, thought to be the world’s first deep learning-based fingerprint recognition solution providing powerful access control features.
Suprema boasts it has pioneered fingerprint recognition technology based on deep learning for the first time in the world. The cutting-edge AI algorithm based on deep learning is embedded in Biostation 2a. This innovation was achieved through Suprema’s expertise in creating a lightweight AI engine optimised for edge devices. Biostation 2a is a high performance edge device that has adopted an AI processor, NPU(Neural Processing Unit), optimised for deep learning, delivering highly accurate and fast fingerprint recognition.
Through deep learning, the ability to extract templates from low-quality fingerprints, such as those that are noisy or distorted has significantly improved by 30% in accuracy. Additionally, Biostation 2a has improved fingerprint recognition speed with a 1.5GHz Quad CPU(Processor) by supporting up to 50,000 users in 1:1 matching and 100,000 users in 1:N matching.
Biostation 2a offers a range of credential options including fingerprint, RFID, and mobile access (BLE/NFC), enhancing user experience and security at the same time. It seamlessly fits into diverse environments, from outdoor spaces to indoor settings, such as small offices or large enterprise buildings. With an extended USB host, it helps customers to easily add-on new features. Furthermore, its IP65 rating and operating temperature range from -20℃ to 60℃ promises to guarantee durability even in the most rugged conditions.
“We are excited to unveil Biostation 2a to the market. This innovative solution represents the future of fingerprint recognition technology and empowers our customers to feel the power of AI within their fingers.” said Suprema Inc. CEO Hanchul Kim, “With Biostation 2a Suprema will enhance its position in the market as the global leader in AI-based biometric solutions setting new standards in the security industry.”
