Glare & Shade Patterns Resilient
Superior vision that sees through glare and shade, enhancing the reliability of face detection and recognition algorithms
Biometrics
The Pitfalls of Biometric Systems
Biometric identification solutions, such as face or iris recognition, are being deployed in increasingly diverse environments. As the dependency on biometric systems becomes ubiquitous, their reliability is extremely important and the risk of false acceptance and rejections, or even malfunction, has dramatic impacts.
This wide-spread adoption drives the development of sophisticated spoofing techniques, including advanced 3D masks, disguise artifacts and more. Moreover, current vision systems struggle when lighting conditions cannot be controlled. If sun glare or highly dynamic light exposure occurs identification is impaired. In these situations, biometric systems cannot guarantee an acceptable and stable level of performance, nor can they provide full protection against new types of attacks. Solving these challenges is key to the successful deployment of biometric solutions in new markets and applications.
SWIR cameras can overcome both these problems as they are able to produce clear images in common challenging lighting conditions and distinguish between human skin and other materials. However, existing InGaAs-based SWIR cameras are fabricated using a cost-prohibitive exotic compound that prevents mass market adoption.
SWIR Sees It All
TriEye’s innovative CMOS-based HD SWIR sensor provides enhanced, reliable image-data, even under the most challenging lighting conditions, at a price fit for mass market scale.
TriEye’s sensing solution is not affected by ambient noise from the sun or other active illumination sources, and therefore is able to provide a clear image of a face even when it is obstructed by shade patterns, strong sun-glare or reflections. Additionally, it allows for the detection and prevention of spoofing attacks by being able to distinguish between real skin and synthetic masks or disguise artifacts using real-time remote material sensing.
SWIR image-data can be analyzed using existing deep learning algorithms or combined with VIS images to create richer identification models.
TRIEYE SWIR
VISIBLE
TRIEYE SWIR
VISIBLE
TRIEYE SWIR
VISIBLE
Benefits
Anti-Spoofing
Easily detects the use of artificial materials, including 3D masks, disguise artifacts and more
Eye-Safe and Indiscernible
Powerful Short-Wave Infrared illumination that is invisible and completely safe to the human eye
Cost-Effective
100 times cheaper compared to current InGaAs-based solutions, fit for mass-market applications
Size, Weight, and Power (SWAP)
Small form factor, light weight, and low power consumption that support flexible system and camera design
Seamless Integration
Integrates with existing ISP and AI algorithms, removing the barrier of training and developing new AI algorithms
Additional Resources
Brochure
CMOS-Based SWIR Sensing Solutions for Biometrics
While biometrics applications are becoming more pervasive and their expected performance is driven to perfection
Interview
How SWIR Sensing Can Advance Your Vision Capabilities
GoPhotonics spoke with TriEye’s CBO, Ziv Livne about the latest advancements in our world-first SWIR technology, the vision challenges we’re addressing, and how the Raven sensor is being leveraged to solve them
Blog
Remote Material Sensing Turns the Invisible, Visible
Every material has a unique spectral response defined by its chemical and physical characteristics; that response can be detected by comparing the relative intensities of carefully chosen spectral bands in a process called remote material sensing