Text Recognition (OCR)
Face Recognition
Video Verification
ID Verification
Aadhaar Services
Video KYC 
Digital KYC
Face Attendance
Multilingual Video PIVC
Aadhaar Signature
Aadhaar Offline
Aadhaar Masking
Identity Fraud
IRSF FraudFace Liveness and Authentication
Positive Pay Cheque Fraud 
Digital KYC Wallet
Visitor Management
Digital Identity Photo
About
Careers
Patents
Press
Awards
Blog
PartnershipCapturing a perfect selfie is tricky. Some too far and some too close. Some over exposed and some under exposed. Some have eyes open and others eyes shut. Some are clear and some are blurry. Let our software do the heavy lifting and help your customers capture a perfect selfie photo. The consistent image quality allows for verification, authentication and precise storage costs.
Capturing a photograph for KYC or authentication is of no use without liveness checks. Our advanced face capture and liveness check engine can detect a live face using passive and active methods to prevent spoof attacks such as photos, videos and masks.
With PINs and passwords coming under attack and KYC frauds proliferating, add face as an extra factor of authentication to your mobile and web applications. Face authentication with liveness verifies a person’s true identity by analysing hundreds of face characteristics and determining that the face is real and not a picture, mask, photo or video spoof.
Takes an input image and assesses for multiple input quality parameters including the presence of blur, reflection, sharpness, exposure, orientation (pitch, yaw, roll), eye and mouth positions, sufficient landmark points and returns a quality score.
Takes two input images or a face image and a document image, detects and crops the face images, extracts the face features from the face landmarks, compares both the images and provides a match similarity score.
Takes the input image, detects and crops the face image, extracts the face features from the face landmarks and compares the image with all the image templates already stored in your database. You can search against millions of images in your database a second.
Takes a reference input image and a set of images to be matched in a single API call. This is useful for de-duplicating incoming application data or selecting the best matching image against a reference image to ascertain a single master record.
Takes an input image or a video and identifies the face image and crops the image. This is useful for cropping face images from ID cards for face comparison against selfie of video face. The image crop usually adheres to the correct and recommended ratio by regulators.
Takes an input image and compresses the image. The face image is usually compressed to about 50KB without loss of quality. You can also use this in batch mode to compress existing images in your document management system to store more for the same unit cost.
Servicing customers worldwide
Tell us your needs
See how Atlas works 
Ask us anything 
Build your solution