Core Technologies
Facial recognition refers to identifying or confirming an individual’s identity through the unique features and patterns of their face. Every person’s facial structure—defined by elements like the distance between eyes, nose shape, and jawline—is distinct, making it a powerful biometric identifier
At Qube Bio, we harness these characteristics to match an individual’s face with stored data, providing secure and efficient identity verification for a range of applications.
Qube Bio’s facial recognition technology relies on cutting-edge automated algorithms, moving far beyond manual identification methods. Privacy is at the heart of our approach—we do not capture or store raw facial images directly.
Instead, our advanced software analyzes key facial landmarks, such as the contours of the eyes, nose, and mouth, to extract a unique set of data points. These are transformed into a secure digital template using our proprietary algorithms, encrypted with AES-256 encryption—a top-tier standard that renders the data unreadable without the proper key. This ensures that the template remains protected against unauthorized access, safeguarding your privacy at every step.
The encrypted template enables swift 1:1 (one-to-one) or 1:N (one-to-many) verification, processed seamlessly on embedded devices or online platforms. Whether adapting to lighting conditions or subtle facial changes, our system delivers fast, reliable recognition without compromising security.
There are two primary sensor technologies for facial recognition:
2D camera sensors are widely used for their simplicity and effectiveness in controlled environments. These sensors capture a flat image of the face using standard cameras, relying on visible light to detect facial features.
The image is then processed by modern algorithms to map key points and generate an encrypted template. While highly efficient and cost-effective, 2D sensors perform best with consistent lighting and frontal views, making them ideal for applications like office access or customer check-ins.
3D camera sensors represent the next level of facial recognition, using depth-sensing technology such as infrared or structured light to create a three-dimensional map of the face. This allows for greater accuracy, even in low light or with varying angles, by capturing depth data alongside surface features.
The resulting template, encrypted with AES-256, offers enhanced security and resistance to spoofing attempts (e.g., photos or masks). These sensors excel in high-stakes settings like healthcare or secure facilities.
Qube Bio is a leader in FR technology, drawing on over a decade of biometric expertise to deliver trusted solutions worldwide. Our technology stands out with:
