Solutions

Developed the world's first back-illuminated CMOS camera optimized for near-infrared (NIR) response and is ideally suited for low light NIR imaging applications including microscopy, hyperspectarl imaging, biometrics, medical imaging, and surveillance.
Key features:
·  1280 x 1024, 30 fps
·  Flexible ROI settings
·  CameraLink data port


A complete unit design was performed including:

  • Hardware architecture development,
  • Full set of real-time video processing algorithms: 3D adaptive noise reduction (DNR), piece-wise Gamma, and automatic self-adjustable histogram equalizer.
  • Verilog modules for large FPGA device using ActiveHDL, Synplify, Quartus (including Nios sort core processor),
  • Analog front-end including anti-aliasing filters, DC restore circuit, 16-bits ADC,
  • CameraLink video transfer interface and USB for ROI definition,
  • Win32 application for ROI definition with user-friendly GUI.

Developed a LED-based video display processor including general concept, hardware architecture, distributed network fundamentals; and finally a pure Verilog synthesisable ASIC code was delivered. 

In progress of development a few innovations were  discovered: highly effective video processing algorithm, adaptive Manchester decoding algorithm, and sophisticated automatic recovery circuit.
The development was including:

  • Image visualization by distributed pixels network
  • Image processing for outdoor video visualization
  • Noise immune communication network including adaptive filtration and synchronization methods
  • Image processing for system testing and calibration.

Developed real-time FPGA-based video processing system including general concept, hardware architecture, software model, Verilog synthesisable code development, ORCAD schematic drawing, working prototype demonstration and full project documentation release.

In progress of development a few innovations were  discovered: 

  • Objects detection for very hard outdoor condition (wind, cloud, rain, fog, etc.) by using 3-D adaptive filtration methods.
  • Objects tracking, by objects color tone, texture, and shape analysis.
  • Objects recognition (human-animal-vehicle) was based on collecting information (properties) for each object, building objects properties data-base, data-base records analysis including objects cross-influence.

Developed real-time FPGA-based video processing system for large size LCD/Plasma displays including:

  • Highly effective Adaptive 3-D noise reduction algorithm; 
  • MPEG/H.xxx compression artifacts reduction by adaptive non-linear 3-D image processing; 
  • Adaptive local and integral non-linear transform: gamma, histogram equalization;
  • Sharpness enhancement without "ringing effect"; 
  • full real-time FPGA/ASIC based approach for 720p, 1080i, and 1080p video modes.

Development was  included a general concept, hardware architecture, software model, Verilog synthesisable code for Altera, Xilinx FPGAs, and ASIC, OEM board development and production, and full project documentation release.

HDTV real-time video improvement processor
Smart video surveillance system
LEDs-based video display processor ASIC
High definition low light NIR camera
Piece-wise non-linear video transform
Pipelined 3-D adaptive video filter

Highly effective algorithm  for real-time FPGA/ASIC platform including SDRAM-based temporal (frame-by-frame) recursive (IIR) video filter with tunable recursive coefficient, and 2-D Finite Impulse Response Gaussian filters.