Access Control & Time-Attendance, with biometric authentication

At Nextel Systems, identity is at the heart of everything we do. In designing our market-leading solutions, we rely on the most natural, reliable, and permanent features to check identities: the body’s own biometric data, including face, iris and fingerprint.

Our researchers use Artificial Intelligence (AI) and Deep Learning algorithms to enhance the performance of biometric identification and authentication, including bias removal and liveness detection. And these algorithms are rigorously designed, tested, and validated by our teams and recognized authorities to ensure accuracy, fairness, and efficiency in real-life situations.

Ethical approach to algorithm development and efficient government-grade biometric solutions
Nextel Systems Ltd takes biometric ethics and standards very seriously. The data used to ensure the performance of our products and solutions is obtained from different sources. First, from our clients, in compliance with local and international privacy regulations; second, from our own employees, who volunteer the use of their biometrics; and lastly, by creating synthetic images using a Generative Adversarial Network (GAN). This enables us to generate qualitative synthetic facial images and fingerprints that are completely fictional – but perfectly efficient – to test our systems at scale, in full compliance with GDPR regulations.