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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) performance to minimize detection time…
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 probably the most difficult…
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 plate…
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 versus Camera Link or…
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 Especially in high speed ALPR…
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…
Camera and Image Acquisition Requirements for Different ALPR Applications
Video camera-based intelligent transportation systems (ITS) are a broad category from automobile sensing systems, traffic management systems, toll collection systems,…
Rugged Camera Specifications – MTBF
MIL-STD-810 provides a defined way to verify many rugged camera specifications. One specification that is not included in the standard…
Rugged Cameras – MIL-STD-810 Compliance
To conserve or not to conserve (on specifications)? How helpful is it to know the best case scenario? When integrating…
Designing cameras into rugged electro-optical systems
System designers in every industry must strive to increase performance and reduce costs within a short development time. This is…