公开(公告)号：US20240021016A1

公开(公告)日：2024-01-18

申请号：US18157047

申请日：2023-01-19

Applicant: HYPERVERGE INC.

Inventor： Manideep Kolla ,  Aravinth Muthu ,  Hariprasad P S ,  Vignesh Krishnakumar

IPC: G06V40/16 ,  G06V40/40 ,  G06V30/41 ,  G06V10/25

CPC classification number: G06V40/172 ,  G06V40/45 ,  G06V30/41 ,  G06V10/25

Abstract: A system and method for authenticating an image is given. The method encompasses capturing a first image comprising at least one first human object and a second ID image; detecting at least one face of one first human object and processing the first human object based on face attribute checks, face quality checks, and face manipulation checks; performing a liveness check of the identification document to crop and align the region of interest; detecting a face of the at least one second human object; performing ID quality checks and ID tampering checks on the region of interest of the identification document; determining the image face feature vector and an ID card face feature vector; determining a match score between the image face feature vector and the ID card face feature vector and a status indicating one of authentication success, authentication failure, or a requirement for manual review of the image.

公开(公告)号：US20240185635A1

公开(公告)日：2024-06-06

申请号：US18336504

申请日：2023-06-16

Applicant: HYPERVERGE INC.

Inventor： Manideep Kolla ,  Ayush Pandey ,  Aravinth Muthu ,  Hariprasad P S ,  Vignesh Krishnakumar

IPC: G06V40/16 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82

CPC classification number: G06V40/179 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82 ,  G06V40/171 ,  G06V40/172

Abstract: A system and method for detection of a fraudulent action using face database search and retrieval is given. The method identifies fraudulent action using a combination of images captured in real-time, feature vector extraction, and metadata matching. The method involves capturing, a query selfie image and a query ID card image. Thereafter, face feature vectors from the query images are extracted, and candidate face feature vectors are identified by searching a set of nearest neighbors of the extracted face feature vectors. The method then retrieves pre-stored application IDs associated with the candidate face feature vectors and a pre-stored metadata associated with the candidate face feature vectors. The method then matches the query metadata with the pre-stored metadata and generates either a fraudulent or non-fraudulent indication based on the matching. Thereafter it detects a fraudulent activity based on the fraudulent indication.