This is our R&D Computer Vision project. For now there is no documentation and it's not intended to be used by other companies.
Speed comparison against OpenCV: speed_compare (core i7 quad@4ghz).txt
- Hand-written assembler (10% of the code)
- SIMD (SSE, AVX, NEON)
- GPGPU (CUDA, OpenVINO, OpenCL, OpenGL, NNAPI and Metal)
- Smart multithreading (minimal context switch, no false-sharing, no boundaries crossing..)
- Smart memory access (data alignment, cache pre-load, cache blocking, non-temporal load/store for minimal cache pollution, smart reference counting...)
- Fixed-point math
- ... and many more
- KYC documents recognition & verification
- Face recognition & 3d liveness detection
- ANPR/ALPR SDK for embedded devices (ARM) and desktops (x86)
- MRZ/MRP SDK for embedded devices (ARM) and desktops (x86)
- Bank credit card recognition/OCR SDK for embedded devices (ARM) and desktops (x86)
- Bank check information extraction/OCR from Magnetic Ink Character Recognition [MICR] (E-13B & CMC-7) using deep learning for embedded devices (ARM) and desktops (x86)
- KYC documents recognition & verification
- Cloud-based 3D Passive Face Liveness Detection (Anti-Spoofing)
- Cloud-based Automatic Number/License Plate Recognition (ANPR/ALPR)
- Cloud-based Machine-readable zone/passport (MRZ/MRP)
- Cloud-based Bank credit card recognition/OCR (ScanToPay)
- Cloud-based Magnetic ink character recognition (MICR E-13B & CMC-7)
- Cloud-based Content-Based Image Retrieval (CBIR)
- Cloud-based Scene text recognition (TextInWild)
Please check our discussion group or twitter account