Facial recognition technology is often misunderstood. A common misconception is that systems store photographs or images of people and use those images to identify them later.
Modern facial recognition systems don’t work this way.
When a user enrols onto an Idency-supported facial recognition terminal, the device analyses key characteristics of the face and converts them into a mathematical template. This template is then used for future comparisons when the user presents themselves to the device.
During enrolment, the device measures and analyses unique facial characteristics such as:
These measurements are processed by the device’s biometric algorithm and converted into a digital template.
The original image used during enrolment is not required for future recognition.
The device stores an encrypted biometric template.
This template is:
Think of it as similar to a password hash. Information goes in, a secure mathematical representation comes out, but the original information cannot be reconstructed from the stored data.
No.
The biometric template is a one-way representation of facial characteristics. While the system can compare a live face against the stored template to determine a match, it cannot reverse the process and recreate the original face, photograph, or image.
In practical terms:
Even if someone gained access to the stored template, they would not be able to reconstruct a photograph or visual image of the individual.
No.
Idency-supported facial recognition devices do not store photographs of users for identification purposes.
The system stores only the encrypted biometric template generated during enrolment. The template contains the mathematical data required for recognition but does not contain an image of the person.
When a user presents themselves to the device:
The live image is used only for the recognition process and is not retained as part of the biometric template.
Modern facial recognition offers several advantages over traditional authentication methods:
Today’s facial recognition technology is significantly more accurate and reliable than older biometric methods, making it the preferred choice for many workforce management and access control applications.
Facial recognition systems supplied and supported by Idency are designed with privacy and security in mind. The biometric data stored is limited to encrypted mathematical templates used solely for authentication purposes.
No photographs, images, or visual representations of individuals are stored as part of the facial recognition process.
At Idency we provide Biometric Statements to our customers that describe the above for each of our devices, so they can give assurance to their employees of the process. Please get in touch if you’d like to discuss these with us.