PresentID will be at Identity week 2022 28-29 June in London. Come to visit us at our booth there.
28-29 June
PresentID Dynamic Face liveness detection can recognize the person in front of the video is real or fake. It can detect if the user is physically present and prevents masks,photos, or video deepfakes to fool the system.We use convolutional neural network (CNN) deep learning algorithms to prevent fraud. We use combination of biometric authentication algorithms such as face, voice, Eye , head detection & tracking to have a highest accuracy to prevent fraud.
Try it live and free nowTo keep the authentication in a top secure level, on the third part we ask the user to read a randomly shown passage. Comparing the last voice to the new one, our platform can highly confirm if the person is exactly the right user.
Learn More Try it live and free now
PresentID Dynamic Face Liveness Detection can recognize the person in front of the video is real or fake.
PresentID Photo ID matching(face matching) API evaluates whether two faces belong to the same person or not.
PresentID Selfie matching compares the selfie image with the liveness and says that they belong to the same person or not.
PresentID MRZ Scanner API localizes and recognizes Machine Readable Zone / Travel Documents (MRZ / MRTD) from a single input image.
PresentID Profile pic matching compares the profile image with the liveness and says that they belong to the same person or not.
Establishing trusted identities is to enroll the identity and verify its authenticity.
We provide the workflow process for identity enrollment and for registering the applicant’s biometric verifiers.
Competitive price + best quality + 24\7 Support
PresentID Face detection API can detect the face(s) in your image and retrieve some features such as Age, Gender, Landmarks, etc.
PresentID Face enroll API allows you to register your users for future authentication. This API stores two image files along with the user’s personal information. Before saving, it is checked whether these two images belong to one person or not. So allows the user to authenticate by sending the face and personID.
PresentID Face mask detection API can detect that the person wears a mask or not.
PresentID Face Similarity API can detect a face in your image and shows the most similar image.
PresentID Document scanner API localizes document images with various distortion types from a single input image.
PresentID Photo ID matching (Face matching) API evaluates whether two faces belong to the same person or not.
PresentID QRcode & Barcode scanner API can scan both QR code and barcode.
PresentID Speaker verification API checks whether two voices belong to the same person or not. This capability is potentially useful in call centers.
PresentID Voice gender recognition API can recognize the gender of the speaker.
CEO of JNT Group
At SIPazon where we do critical communication , having Virtual Omni-Channel Identity is crucial part of our technology. With PresentID , we are able to deliver comprehensive and scalable Identity authentication using Artificial Intelligence. SIPazon and VirCom platform are now empowered with strong omni-channel Identity from PresentID :
Face Verification
Dynamic Face Liveness Detection
Speaker Verification
ID Card Check and OCR
Head Position
I have used face verification in my enterprise's. it's very helpful without need to think about the algorithm anymore, with a reliable system, of course, my clients are satisfied with this feature.
At Arvo Mobile, we provide Finland's and also Europe's fastest mobile payment solution. But only speed is not enough; security should also be OK. To know our merchants and provide easy setup, we had several challenges because of manual identification. But thanks to PresentID! They solved our problem with Dynamic Face Liveness detection, Photo ID matching and ID Card OCR.
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