Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 2484+ types in total. Provides eco-friendly, fast and precise scanning SDK for a smartphone, web, desktop or server, works fully autonomously. Extracts data from photos and scans, as well as in the video stream from a smartphone or web camera, is robust to capturing conditions. No data transfer — ID scanning is performed on-device and on-premise.
Automatic scanning of machine-readable zones (MRZ); all types of credit cards: embossed, indent-printed, and flat-printed; barcodes: PDF417, QR code, AZTEC, DataMatrix, and others on the fly by a smartphone’s camera. Provides high-quality MRZ, barcode, and credit card scanning in mobile applications on-device regardless of lighting conditions. Supports card scanning of 21 payment systems.
Automatic data extraction from business and legal documents: KYC/AML questionnaires, applications, tests, etc, administrative papers (accounting documents, corporate reports, business forms, and government forms — financial statements, insurance policies, etc). High-quality Green AI-powered OCR on scans and photographs taken in real conditions. Total security: only on-premise installation. Automatically scans document data in 2 seconds on a modern smartphone.
Green AI for Tomographic reconstruction and visualization. Algorithmization of the image reconstruction process directly during the X-ray tomographic scanning process. We aspire to reduce the radiation dose received during the exposure by finding the optimal termination point of scanning.
Document data scanning from ID cards, passports, driver’s licenses, vehicle registration certificates (VRC), visas, birth certificates, insurance cards, and other documents. Supports scanning of over 2484 types of identity documents of 210+ territories and entities worldwide. Works on a mobile phone, tablet, or server, web camera, with photos and scans of documents, as well as in the video stream from a web or smartphone camera, regardless of their quality, and is robust to capturing conditions.
Automated data entry of government, legal, and business documents: fixed forms, semi-structured and unstructured documents (primary accounting documents, KYC forms, consent forms to the personal data processing, applications, tax certificates, balance sheets, P&L statements, payment orders) from scans and photos taken in natural conditions, including automated document classification, text fields recognition, checking the presence of stamps and signatures and document package consistency checks.
18.05.2023AI developer Smart Engines releases a 15% smaller mobile SDK for ID scanning
Smart Engines has unveiled a new generation of Smart ID Engine v2.0.0, a system for scanning ID cards, passports, and driving licences. The developers have fundamentally redesigned the AI-based algorithms. This resulted in a 15% reduction in package size and a 30% reduction in RAM consumption in any mode, which…
03.05.2023Smart Engines secures US patent for an innovative method of visual AI
Smart Engines researchers have been awarded a US patent for a proprietary development. The invention significantly improves the performance of neural network architectures used for image recognition. The authors of the invention are Alexander Sheshkus, Senior Researcher-Programmer at Smart Engines; Vladimir Arlazarov, PhD in Computer Science, CEO of Smart Engines;…
17.04.2023Smart Engines launches AI scanner for handwritten credit card numbers
Smart Engines has launched an AI solution for reading credit card numbers recorded in any format. Banking customers simply point their smartphone camera at a printed or handwritten credit card number to make a transfer or pay for a purchase at a point of sale. The neural network recognises the…
13.02.2023Smart Engines registers US patent for document recognition system
Scientists of AI-company Smart Engines have patented a system of efficient localization and identification of documents in images in the U.S. on February 7, 2023. The authors of the invention are Smart Engines computer vision scientist Natalya Skoryukina, Smart Engines CEO PhD in Computer Science Vladimir Arlazarov and Smart Engines CTO PhD in Physics and Mathematics Dmitry Nikolaev…
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