FaceLocate has been developing face recognition solutions since 2015.
We provide our solutions to technology providers that integrate with mobile and server platforms.
We have a team of mathematicians and senior data science folks that love solving machine learning problems.
We love that. Reach out and we'll be happy to review your requirements and let you know whether we can make it happen. We won't waste your time if it isn't a good fit with our skillset.
Using a single stage face detector based on the RetinaFace paper.
Using multiple DL models to analyze images for fake vs real classification.
Using a deep learning model based on the ArcFace paper.
Face recognition takes a bad rap in the press, but there are many excellent use cases for protecting personal identity and blocking hackers.
Here are just a few examples:
1. Remove ID verification for accessing financial records - avoiding a trip to the branch.
2. Multi-factor authentication for accessing personal data or corporate networks.
All ID verification and face authentication checks are done on device - and is encrypted everywhere else. Your biometric data is not floating around in the cloud in any useful format.
Checks are performed in real-time in less than a second. This includes a liveness verification check.
Android, iOS, Windows and Server platforms. Server implementations are based on Docker instances.
