Smart Engines has been hard-working to perfect the identity documents scan for Arabic countries. Meet Smart ID Engine SDK for integration of ID scanner into mobile apps, server software, desktop applications, and web apps to boost remote onboarding and KYC process, enhance customer service, and automate data capture in your company’s document flow! Using our product, companies can securely scan and extract identity document data in real-time.
Smart ID Engine is based on the proprietary GreenOCR® technology. This state-of-the-art OCR extracts data of ID cards, passports, residence permits, and other identity related documents in more than 100 languages including the first Arabic language OCR on mobile. The SDK minimizes CPU energy consumption and carbon footprint thanks to the framework of low-bit pipelines for deep neural network inference. With Smart Engines ID scanning the customer’s data is processed securely without any need to send anything to external services.
Fast, accurate, and eco-friendly scanning of passports, ID cards, driver’s licenses (DL), residence permits (RP), and vehicle registration certificates (VRC) of Arabic countries.
|United Arab Emirates||✓||✓||✓||✓|
|Palestine, State of||✓||✕||✓||✕|
|Syrian Arab Republic||✓||✓||✓||✕|
In addition we support:
|United Arab Emirates||Work Permit|
|United Arab Emirates||Vehicle Registration Certificates|
|Egypt||Vehicle Registration Certificates|
|Saudi Arabia||Vehicle Registration Certificates|
To see the full range of our features, explore the complete list of supported IDs & countries!
The Smart Engine team of scientists and software engineers are using the Green AI approach for creating computer vision algorithms and AI models for accurate and fast document scanning. Using advances of this approach we are creating our own low-bit and low power ANN inference software and special tiny CNN models that allow us to reduce the carbon footprint of AI on every stage of creating and using our models. To reduce the power consumption of our products we are hard-working on constantly improving the energy efficiency of each and every Computer Vision algorithm we create and use to achieve the best speed and power efficiency of our SDK, as well as the state-of-the-art recognition precision.
If you have questions, or feedback on our posts, please feel free to email us (firstname.lastname@example.org), or send a request, we’ll contact you.
You can try our Smart Engines technologies with demo apps provided in App Store and Google Play.
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Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 1856+ 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.
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