Compare faces in two images to verify identity
Find and highlight faces in images
Next generation image and video face swapper
Analyze if an image contains a deepfake face
Identify and mark facial landmarks in images
Verify student ID by comparing face images
Face Recognition
extract 68 points landmark from mediapipe-468
Replace faces in videos with new ones
Identify faces in photos and label them
Analyze and compare faces for attributes and liveness
This is a face swapper that swaps face within video.
Register, recognize, and delete users using face and voice
Face Verification is a face recognition technology designed to compare faces in two images to verify if they belong to the same individual. It is a subset of facial recognition that focuses on 1:1 comparison to confirm identity. This technology is widely used for authentication, access control, and security purposes, ensuring accuracy and reliability in verifying identities.
What is the accuracy of Face Verification?
Face Verification uses advanced AI models to ensure high accuracy, typically over 99% under ideal conditions.
Can Face Verification work with low-quality images?
While high-quality images are recommended, the technology can still work with lower-quality images, though accuracy may be reduced.
What formats does Face Verification support?
It supports common image formats such as JPG, PNG, BMP, and others, depending on the implementation.