White Papers

22 April 2013

The basics of ensuring barcode readability for reliable process operation.

27 March 2013

Image analysis and machine vision have a common goal of extracting information from digital images. They differ mostly in what objects or parts they are applied to and the type of information extracted. Both use image processing - computations that modify an input image to make image elements more obvious. As examples, image processing is used to compensate for variations in lighting and to enhance the edges of objects. Machine vision is primarily concerned with locating, identifying, measuring and inspecting manufactured parts such as fasteners (bolts, screws, etc.). Image analysis is primarily concerned with measuring natural or non-manufactured parts and patterns. Applications include classifying and counting biological cells and characterising particles, textures or foams.

19 November 2012

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. This white paper uses these factors to contrast the two software development approaches and clearly establish the merits and drawbacks of each. The discussion assumes that the vision tools available in both types of software are similar—if not identical—and does not explore possible discrepancies with these tools. Also, the discussion ignores the hardware platform that the vision applications run on as to not bias one over the other.

29 May 2012

In an effort to stay ahead of the ever increasing demands of managing and controlling the world’s vast network of roads, the vehicles that use them, and the people that rely on them, transportation systems specialist are turning to computer vision for help. There are numerous software and hardware considerations that need to be considered when deploying a vision system for transportation applications. This Teledyne Dalsa white paper will focus on camera selection and matching camera requirements to various transportation computer vision applications.

15 March 2012

There are several ways to give recommendations for optics and lens selection. This paper will discuss these guidelines and assist you when deciding which lens is appropriate for your application. It will discuss basic information on lens mounts, image sizes, magnification, focal length, f-number, and spectral ranges