Monthly Archives: 10月 2017

CCD versus CMOS in Traffic Applications

For intelligent traffic systems, VGA resolution CCD-based cameras have traditionally been the accepted technol…

Trends in intelligent traffic systems – more machine vision cameras and cameras doing more

  Intelligent Transportation Systems (ITS) are con…

Considerations when using machine vision cameras in traffic applications – ITS

The latest machine vision camera technology can allow for improvements in intelligent traffic system (ITS) per…

Camera and Image Acquisition Requirements for Different ALPR Applications

Video camera-based intelligent transportation systems (ITS) are a broad category from automobile sensing syste…

OCR algorithms work better with high quality images for accurate Automated License Plate Recognition ALPR

Unlike what is shown on TV, you cannot zoom into a blurry image and expect to get more details.  An image…

Best Image for Automatic License Plate Recognition – ALPR – part 1 Sharpness

Sharpness of the image is one important component that influences the accuracy of ALPR systems  Especiall…

Choosing a vision interface – CoaXPress, Camera Link, or GigE Vision?

Matrox has written a concise white paper providing details on CoaXPress and help when consideriing CoaXPress v…

Best Image for Automatic License Plate Recognition – ALPR – part 2 Contrast

Now that you have done what is possible to get a sharp image for your OCR algorithm for automatic license…

Best Image for Automatic License Plate Recognition – ALPR – part 3 Remove Image Artifacts

Usable images for ALPR are sharp, contrast rich and without artifacts. Reducing image sensor artifacts is prob…

Free e-Paper: How to get the best image for ALPR/ANPR

Since automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR) relies on optica…