Green AI-powered passport scanner

Smart ID Engine uses advanced computer vision and machine learning algorithms to automatically identify the passport type, recognize all the necessary text fields, and extract graphic zones such as signatures, fingerprints, and face verification. The software can also independently recognize a visual inspection zone of the passport, text fields printed in both English and national languages, and a machine-readable zone. Additionally, Smart ID Engine has a face matching technology that allows you to verify the photo extracted from an MRTD document with a selfie taken on the same device, which enhances security and helps prevent fraud.

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Smart ID Engine is distributed as an SDK containing core libraries, interfaces, documentation and usage examples. The developers are provided with the API, which helps integrate the scanning passport function into the software in C, C++, C#, Java, Python, PHP, Swift, Objective C and use React Native and Flutter frameworks.

The product is available for mobile applications for Android or iOS, desktop applications for Windows, Linux, and macOS, web applications or server-based solutions.

Security Solutions

Our software provides the highest accuracy due to advanced AI algorithms and computer vision. It works in compliance with worldwide safety regulations (GDPR, CCPA, PCI DSS). Smart ID Engine guarantees privacy and security of personal data for businesses and users. We do not transfer, save or store any data or images, the software does not require internet access.

Green Efficiency

Smart ID Engine was specially created to be eco-friendly. All our technology are intentionally optimized to minimize the environmental impact using the Green AI approach. Our state-of-the-art OCR technology — GreenOCR® — minimizes the power consumption during the recognition process. Thus, it reduces the carbon footprint and extends the life of the mobile device on a single charge without compromising speed and precision. That allows our customers to add a passport scanner while remaining environmentally friendly.