For US driver’s licenses, the function of automatic scanning and parsing of the AAMVA-compliant PDF417 barcode printed on the back of US driver’s licenses is implemented in Smart ID Engine. It allows you not only to recognize all the data in a document with high accuracy, but also to ensure data integrity control and check it for signs of forgery. Smart ID Engine supports automatic driver’s license scanning of all 50 states and 4 territories of the United States. The solution also supports recognition of driver’s licenses issued in all 10 states of Canada and its 3 territories, as well as 29 states of Mexico and Mexico City.
In addition to driver’s license scanning, Smart ID Engine recognizes Vehicle Registration Certificates (VRC). Smart ID Engine supports VRC recognition in the United States, Brazil, the European Union, the CIS, and the Middle East. The program extracts the document number, VIN, state registration number, car make and model, and other data. If necessary, driver’s license and VRC scanning can be supplemented with the recognition of bank cards, passports, ID cards and barcodes.
Smart ID Engine contains special driver’s license recognition templates, which allow you to accurately and quickly recognize all the necessary data in 102 languages worldwide, including English, Spanish, French, German, all European languages, languages of the CIS countries, Japanese, Chinese, Korean, syllabic Asian scripts, the languages of Africa.
Smart ID Engine works independently and guarantees personal data privacy and security for businesses and users. The program scans and recognizes driver’s licenses and VRC, and does not transfer any data to the network, does not save or store it, provides the highest accuracy due to advanced AI algorithms and computer vision. Smart ID Engine is a robust solution for driver’s license scanning and recognition, and is HIPAA, GDPR, CCPA-compliant.
All Smart ID Engine AI and computer vision algorithms are specially optimized to minimize the environmental impact of the Green AI approach. Our state-of-the-art text recognition technology GreenOCR® minimizes the power consumption during the recognition process. Thus, it reduces the carbon footprint, and also extends the life of the mobile device on a single charge.
The driver’s license scanning software Smart ID Engine is delivered as a standalone SDK (Software Developer Kit) containing all the necessary API descriptions (Application Programmable Interface) and integration examples in different programming languages. The developers are provided with the API which helps to integrate Smart ID Engine into the software in C, C++, C#, Java, Python, PHP, Swift, Objective C and use React and Flutter frameworks.
Smart ID Engine SDK allows you to turn an iOS or Android-based mobile device into a driver’s license scanner. Our original AI algorithms provide high-speed and autonomous driver’s license recognition (~200ms per frame on the iPhone XR), the ability to scan a driver’s license at different angles, as well as high-quality recognition under different lighting conditions.
Due to the WebAssembly (WASM) supporting technology, Smart ID Engine driver’s license scanning olution can be implemented in all up-to-date devices with installed browsers (Mozilla Firefox, Google Chrome, Chromium, Microsoft Edge and Apple Safari), including smart TVs and consoles. The software does not require special applications or special plugins. The use of unique neural network architectures allows you to recognize video data obtained from low-end webcams with a resolution of 640×480 pixels.
Deep software and hardware optimization of the algorithmic recognition principles for various processor architectures allows Smart ID Engine to autonomously recognize driver’s licenses on any PCs (including monoblocks and nettops), turning them into high-performance workstations for entering and processing photo and video data obtained from various image capturing devices (webcams, scanners, special document readers). A wide range of software interfaces provides the possibility of native integration into most information systems.
Thanks to thread safety, Smart ID Engine SDK allows you to implement scalable AI platforms for driver’s license processing. Unique algorithms for automatic document identification and localization in images (scans, photo and video data) allow you to automatically process heterogeneous streams of input images. The driver’s license recognition performance on modern computers (with an AMD Ryzen Threadripper 3970X processor) is at least 45 images per second.
Supported mobile OS:
Supported server and desktop OS:
Geographic coverage fo id scan:
Identity documents from 210 countries (including all 193 UN states)
Multilingual text OCR:
Abkhaz, Afrikaans, Albanian, Armenian, Aymara, Azerbaijanian, Belarusian, Berber (Latin alphabet), Bosnian, Bulgarian, Cantonese, Castilian, Catalan, Chewa (Latin alphabet), Chibarwe (Latin alphabet), Chichewa (Latin alphabet), Comorian (Latin alphabet), Croatian, Czech, Danish, Dutch, English, Estonian, Fiji Hindi (Latin script), Fijian, Filipino, Finnish, French, Georgian, German, Greek, Haitian Creole, Hebrew, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Kazakh, Kinyarwanda, Kirundi, Korean, Kyrgyz, Latvian, Lithuanian, Luxembourgish, Macedonian, Malay (Latin alphabet), Maltese, Mandarin, Maori, Moldovan, Mongolian (Cyrillic alphabet), Nauruan, Ndau, Ndebele, Northern Sotho, Norwegian, Ossetian, Palauan, Polish, Portuguese, Quechua, Romanian, Russian, Serbian, Seychellois Creole, Shangani, Shona, Slovak, Slovene, Somali (Latin alphabet), Sotho, Southern Ndebele, Spanish, Swahili (Latin alphabet), Swazi, Swedish, Thai, Tajik, Tamazight (Latin alphabet), Tetum, Tok Pisin, Tonga, Tsonga, Tswana, Turkish, Turkmen, Ukrainian, Uzbek, Woleaian, Xhosa, Zulu
Supported programming languages:
SDK includes React and Flutter integration interfaces.
Integration with other programming languages and frameworks (such as Go, Perl, Xamarin, etc.) is ensured by using the API in C.
The SDK already contains examples of using Smart ID Engine in Python / Java / C / C++ / Swift / Objective C / C# / PHP.
NEC de Colombia
Oman Arab Bank
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