In the world of machine vision and automated optical inspection systems, smart cameras receive a lot of attention. In fact, they are often presented as the favored—if not only solution.
Commercial machine vision software is currently classified along two lines: the conventional vision library and the vision-specific integrated development environment (IDE). Determining which software is right for your vision project depends upon a variety of factors: ease-of-use, productivity, flexibility, performance, completeness, and maintenance.
Digital cameras with color image sensors are now commonplace. The same is true for the computing power and device interfaces necessary to handle the additional data from color images.
Automated license or number plate recognition (ALPR/ANPR) is one of the most challenging applications for optical character recognition (OCR) because of the variable conditions encountered and the expected effectiveness.