Facedapter provides multi-modal facial recognition software that matches thermal and 3D images to 2D passport photos or existing databases without requiring a pre-existing database. This technology enhances identity verification across various imaging modalities, improving security and user experience for government and enterprise applications.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional facial recognition systems often require extensive pre-existing databases and may struggle with variations in imaging modalities, such as matching thermal or 3D images to standard 2D photos. This limitation can hinder identity verification in scenarios where comprehensive databases are unavailable or where diverse imaging technologies are employed.
Solution
Facedapter offers multi-modal AI-powered facial recognition software designed to overcome the limitations of traditional systems. Their technology enables matching across different imaging modalities, including thermal and 3D images, to 2D passport photos or existing databases, without mandating a pre-existing database. By bridging the gap between different sensing technologies, Facedapter enhances identity verification, improves security, and streamlines user experience for both government and enterprise applications. The system provides unified identity management in real-time, improving performance and capacity.
Target Audience
Facedapter's primary customers include government agencies, law enforcement, facility management, finance and telco companies, and businesses in the sharing economy that require robust and versatile identity verification solutions.
Features
- TheoFace: Thermal imaging facial recognition that matches thermal camera images with passport photos or existing databases.
- UnioFace: Unified identity management system that recognizes faces in 3D, NIR, SWIR, and LWIR and matches them with 2D images.
- DuoFace: AI-enabled matching engine that matches 3D/Near-infrared images to 2D images in an existing database or passport/ID.
- NioFace: Improves existing databases with high-resolution 2D and 3D images for driving licenses, passports, and IDs.