Face recognition FAQ

Luxand facial recognition API have near-perfect accuracy. Verification algorithms used to match subjects to clear reference images (like a passport photo or mugshot) can achieve accuracy scores as high as 99.97% on standard assessments like NIST’s Facial Recognition Vendor Test (FRVT).

This is comparable to the best results of iris scanners. This kind of face verification has become so reliable that even banks feel comfortable relying on it to log users into their accounts.

Yes. High level encryption and tokenization of sensitive data are standard practices at Luxand.Cloud. Our database is hosted at Amazon Web Services (AWS) and Google Cloud Platform (GCP). 2048 bit SSL encryption for all data in transit and AES-128 XTS encryption at rest for customers’ face templates and AES-256 for all backups and image storage. All of the transactions you submit to our API is through a user-generated key. The key you generate authorizes the engine to perform tasks on your behalf.

Payments are processed through our partner Stripe. We never see your credit card details.

1. You submit images into our API.
2. We find all the faces and return detailed facial information back in the form of code objects (JSON).

These results include feature points, age, gender, ethnicity, and a ton of other useful data about the human face.

You can also create galleries of faces from your images and videos to be used later for face verification or identification ("face recognition").
All of the transactions you submit is through a user-generated API key. The API key you generate authorizes the engine to perform tasks on your behalf.

Each time you enroll a face into the API, it extracts the facial features, generating a template of the features as a random alphanumeric string of code.

This anonymizes the facial data therein and the template cannot be reverse engineered back into a photo. When you compare faces in our system, you are actually comparing templates. So, each enrolled face counts as 1 template.

Some aspect of AI has undoubtedly been used in the development of facial recognition. It is a form of biometric software that displays and preserves an individual’s facial features as a face print.

To check one’s identification, the software compares a live image data to a stored face print using deep learning algorithms. The pillars of this technology are image processing and machine learning.

Face recognition API employs computer algorithms to identify unique, distinguishing features on a person’s face. These data, such as eye range or jaw shape, are then transformed into a mathematical representation and contrasted to data from other faces in a face recognition database.

Our algorithm can now query vast databases a rate of 100 million images in just one-tenth of a second. As a result, our customers can now receive alerts in real time.

Yes it is.

We do not use any personally identifiable information, and any face template data we create cannot be reverse engineered. Your image classification in the API only needs to make sense to you. This means you can use anonymous or tokenized identifiers instead of personal data such as employee numbers.

For added peace of mind we highly-recommend our On-Premises edition, giving you ultimate control over your data and networks.