What is Face Comparison?
Powered by Deep Learning technology, face comparison is a type of software that verifies whether two images of a face are the same person. By implementing face comparison software, users can search for faces and verify or identify an individual by comparison to an existing image or a database of images.
Why is Face Comparison important?
The most obvious use case for face comparison is in age or identity verification. By taking a selfie and uploading it to a site, users can prove their identity in order to buy age or otherwise restricted products online. The system will compare this image to the one on their passport or identity document in order to verify that it is the same person.
Another example of when face comparison is very useful is when a user needs to find similar looking faces in a large database in order to group them together. This could allow security technology to grant access to certain people for a certain building within a workplace, for example.
What is the difference between Face Comparison and Face Analysis?
While face comparison relies on two images for comparison and uses facial recognition, face analysis does not use face recognition and works autonomously and anonymously to analyze elements of a singular face. For this reason, the insights gained are far more extensive. To give a few examples, face analysis technology can verify age and gender as well as detecting mood with great accuracy. Face analysis technology is more widely adopted for use globally as it is non-intrusive and can be integrated without conflicting with any privacy laws.
What are the uses of Face Comparison?
Face comparison allows corporations to establish their consumer identities. This accelerates the checkout process both online and at point of sale. Face comparison can occur in real-time to improve the client experience. This also allows corporations to take an active position to prevent identity fraud.
Know Your Customer (KYC)
Financial service providers are required to enforce anti-money laundering (AML) measures including Know Your Customer.
This regulation makes it a necessity for organizations to know exactly who they are doing business with. By being able to verify their consumers’ identities on a device or through the cloud, financial companies can streamline this process.
Across every type of public building, face comparison technology can be used to identify criminals. By matching live images within a database, anyone who is suspected of posing a threat can be quickly identified. This can be particularly useful in larger public spaces where it is increasingly difficult to monitor crowds such as; at football stadiums or at concert arenas etc.
What are the challenges of Face Comparison?
The main challenge that organizations face when utilizing face comparison software is ensuring that it is compliant with GDPR, CCPA and other data protection laws. Using face analysis software such as DeepSight as an alternative to facial recognition solutions can help to ensure public confidence in privacy protection while also optimizing and streamlining everyday processes such as age verification at self-service checkouts or confirming ages online for the sale of restricted goods.
How does Face Comparison work?
Face comparison works by comparing the facial landmarks of an individual’s face to the landmarks of a face within an image, such as an ID document. The deep learning algorithms work to calculate the similarity of the two faces in order to verify if they are the same person. The algorithms are trained on large data sets and are generally set to become more accurate as time goes on.
How Face Analysis can fuel Face Comparison solutions:
Sightcorp uses cutting-edge face detection and face analysis software to assist in ID (age verification) for the purchasing goods online or in-store at self-service checkouts. By verifying age whilst still keeping all data anonymous and blurring faces in real-time, it’s the perfect solution for organizations that need to conform to strict privacy legislation and that want to streamline their sales processes and checkout services for their customers. No face identification or comparison is needed. Find out more here.