: Detecting "replay attacks" where a screen is recorded instead of a physical document.
: Handling the reflective surfaces typical of laminated ID cards or plastic driver's licenses.
: Instead of reading one blurry frame, the system combines data from multiple frames in the video to produce a high-confidence text result. Research Applications MIDV-226.mp4
If you'd like to dive deeper into the or see how Smart Engines structures their data, let me know!
The MIDV-2020 dataset was created by the Smart Engines team to address the challenges of capturing identity documents in unconstrained mobile environments. Unlike static scans, these videos include real-world "noise" like motion blur, varying lighting, and background interference. The Purpose of MIDV-226 : Detecting "replay attacks" where a screen is
💡 : While it may look like a simple video of a card, MIDV-226 is a vital data point in making digital identity verification faster and more secure for everyone.
: Training lightweight AI models that can run directly on a phone without needing a powerful server. Research Applications If you'd like to dive deeper
: It serves as a benchmark for Optical Character Recognition (OCR) systems.