Smart Engines

Smart Engines and Intek Deliver Russian Scanners for AI-Powered Document Verification and Fraud Prevention

Smart Engines has partnered with GK Intek to release a line of Russian software-hardware scanner complexes that combine automatic data entry with multi-spectral authenticity checks for passports and other identity documents. The systems support documents from Russia, CIS countries and 235 jurisdictions worldwide, analyzing optical, ultraviolet and infrared images plus RFID chips to detect forgeries including photo swaps and digital edits. Deployments at Genbank and Severgazbank have reduced manual passport entry to fractions of a second while blocking fraudulent documents in real time without sending images outside the organization. The same technology powers border control modules at Sheremetyevo, Vnukovo and Koltsovo airports inside the Sapsan system, cutting passenger processing time to 40 seconds. Additional use cases include automatic pass issuance at transport hubs, electronic signature issuance by the Federal Tax Service and a pharmacy robot in Minsk that verifies age-restricted sales. A newly patented U.S. method detects hidden digital manipulations by analyzing image provenance rather than content, while another patent identifies optically variable devices to spot copies and replicas.

Smart Engines Patents AI Method to Detect Holographic Security Features in Documents Using Visible Light Only

Smart Engines has developed and patented a new technique that identifies optically variable devices such as holograms on identity documents without requiring ultraviolet illumination. The approach relies on a standard document scanner equipped with six independently controlled LEDs that capture a sequence of six images under different lighting angles while the document and camera remain stationary. After dark-current correction and calibration against a white reference sheet, the system normalizes the images and computes per-pixel color-vector standard deviation to generate an OVD map. A simple thresholding and region-of-interest analysis then produces a binary verdict indicating whether a genuine holographic element is present. The method effectively distinguishes original documents from high-quality color prints, photocopies, and physical replicas that cannot reproduce the angle-dependent color shifts of real OVDs. All processing occurs with existing scanner hardware, demonstrating that algorithmic interpretation of controlled illumination can add a new authenticity signal without additional optics or spectral channels.