Suprema is honored to announce that BioStation 2a, the world’s first deep learning-based fingerprint recognition access control solution, has received the prestigious SecurityInfoWatch’s ‘2024 Readers’ Choice Award’. This recognition not only highlights the innovative technology behind BioStation 2a but also underscores Suprema’s global reputation as a leader in AI-powered access control solutions.
SecurityInfoWatch, a leading US-based media outlet in the security industry, provides cutting-edge insights, including breaking news, product analyses, and technological developments. It is a trusted resource for professionals worldwide, offering content across various platforms such as websites and magazines.
The Readers’ Choice Award is determined by votes from nearly 2,200 security professionals, representing experts who rely on these technologies in their daily work. This award reflects the global impact of BioStation 2a and its ability to meet the evolving demands of the security industry. Moreover, it reaffirms Suprema’s consistent presence on the global stage and its status as a trusted pioneer in security solutions.
BioStation 2a represents a significant advancement in AI-powered access control technology. This innovative, high-performance on-device AI solution provides integrated security features. BioStation 2a utilizes edge computing for real-time access control data processing directly at the edge, eliminating the need for server reliance and ensuring faster response times. It incorporates a Neural Processing Unit (NPU) optimized for deep learning, enabling faster and more precise fingerprint recognition—even for challenging fingerprints, such as those that are noisy or distorted. Additionally, BioStation 2a supports multiple authentication options, including fingerprint recognition, NFC/BLE mobile credentials, and RFID cards, offering a versatile and user-friendly solution tailored to modern security needs.
Suprema’s commitment to innovation was further demonstrated last year when BioStation 3, a facial authentication access control solution, earned the Readers’ Choice Award for Top Access Control Hardware Product. This groundbreaking device transformed the access control market with its fast and highly accurate facial authentication technology. BioStation 3 was also recognized as the Best Product at the Detektor International Awards 2022, one of Europe’s most prestigious security accolades.
Suprema’s award-winning solutions, including the BioStation 2a and BioStation 3, embody its commitment to advancing AI technologies for enhanced security, and user convenience. By staying at the forefront of innovation, Suprema is dedicated to addressing the dynamic challenges of the global security landscape.
For further details, read the full article about BioStation 2a’s award-winning technology below.
The SecurityInfoWatch Readers’ Choice Awards recognize the most impactful products introduced in the physical security industry over the past year (April 2023 through June 2024) in 19 different product categories.
The program is the most democratic product awards program in the industry – judged and decided by the very people who use and install these products every day.
Voting was open to any SecurityInfoWatch reader (one vote per IP address) during August and September. In all, nearly 2,200 security professionals participated in the voting.
“SecurityInfoWatch congratulates all of the award winners in our annual Reader’s Choice Awards,” said SecurityInfoWatch Editorial Director Steve Lasky. “These products represent the best of the best among the newest technologies that are helping to secure people and property.”
Visit www.securityinfowatch.com/readerschoice for a full explanation of the award procedures. Print subscribers can check out the winning products in the annual Winter Big Book product guide, a special December 2024 bonus publication to Security Business, Security Technology Executive (STE) and Locksmith Ledger magazines.
Check out the 2024 Readers' Choice honorees below!
NPU (Neural Processing Unit) enables fast fingerprint recognition.