Biometrics and AI

Biometric authentication is seeing rapid adoption across industries, driven by the rise of advanced AI models. But what does it take to implement fast, private, and reliable facial recognition systems at scale?

• At ImagingNext 2025, Eyal Rond, General Manager and VP of R&D for RealSense Biometrics and Access Control Solutions division, will guide attendees through the AI architecture and training methods behind modern facial authentication. The session will focus on how the F-series cameras from RealSense leverage deep learning models for high-precision recognition and spoof detection.

What Is ImagingNext?

ImagingNext is FRAMOS’s annual innovation event dedicated to the future of imaging and machine vision. It brings together industry leaders, researchers, and solution providers to explore cutting-edge trends, real-world applications, and emerging technologies across various sectors. With expert talks, live demonstrations, and networking opportunities, ImagingNext 2025 offers participants a unique chance to gain fresh insights, spark collaboration, and discover how imaging is transforming industries – from robotics and automation to AI and beyond.

Inside the AI Behind Facial Recognition

Attendees will learn how convolutional neural network (CNN) models are used for facial recognition and spoof identification. The session covers the full software pipeline, including algorithms for feature extraction, best-image selection, template creation and matching, and anti-spoofing analysis.

Eyal will walk through dataset strategies, exploring the use of public datasets like LFW, private data, and synthetically-generated training data, to reduce bias and increase model accuracy across varied demographics. He’ll also share insights from benchmark testing, including results from NIST FVRT evaluations and internal validation, along with case studies showing real-world deployment across diverse lighting conditions and environments.

About the Speaker: Eyal Rond

Eyal Rond is general manager and VP of R&D for RealSense Biometrics and Access Control Solutions division. A product visionary and technology leader, Eyal is driving RealSenseID mission to become the platform of choice for biometric access control, delivering AI-powered solutions that are transparent, private and secure. 

Eyal leads a multidisciplinary R&D team across software, research, devices and systems while defining the product roadmap and scaling partnerships and go-to-market strategies. He spearheads initiatives to combat tailgating, enhance anti-spoofing and ensure biometric systems scale securely, cementing RealSense as a trusted name in global security. Under his leadership, RealSense is redefining facial authentication with faster, more secure access control systems for applications across airports, retail, banking and more.  

Previously, Eyal led the AI and Computer Vision group providing deep learning solutions to business units within Intel such as biometrics, healthcare, robotics, Xverse and 3D reconstruction.

At ImagingNext, Eyal Rond brings a deep understanding of biometric AI systems and real-world deployment challenges — making his session a must-attend for anyone building secure, high-performance facial recognition at scale.

Why You Shouldn’t Miss This Session

If you’re working in secure access, computer vision, or applied AI, this session delivers key takeaways:

• Understand how CNNs are applied to both recognition and spoof prevention,
• Learn what dataset types and training are required for accurate model performance,
• Get familiar with the full algorithmic flow for biometric authentication,
• See benchmark data and use cases from real deployments.

At ImagingNext, Eyal Rond brings deep expertise in biometric AI and practical system implementation — making his session essential for anyone building next-generation identity and authentication solutions.