Halogen lamps used to be the conventional light emitters for many image
processing illuminators. But now the LED, with its longer life, lower
operating costs and the associated increased operations security is ready to
To inspect sheet steel, paper web or other uncut materials for errors at
extremely high speed during their manufacture, line-scan based image
processing systems are often the only technically and economically viable
solution. This article describes the current state-of-the-art line-scan
The intention of this article is to inform the reader on the definitions, interpretations and implications of the term ‘deep learning’. It remains a hot topic, but terms change and the hope is that this article provides a good basis for further reading.
It deliberately avoids mathematics in favour of diagrams as it is intended only as a top-level description.
Many key tasks in the manufacture of products, including inspection,
orientation, identification, and assembly, require the use of visual
techniques; but implementers need to carefully match machine vision options
with application requirements.
What makes a machine vision system robust? Robustness in this context is more than just reliability. It is a reliability that is maintained within the natural variations of the environment in which the system is being used.
They’re already widely used in offices or at ticket vending machines, but they’re only known to insiders within the industry: documents, cards or bank notes are often read and checked by scanners. Mitsubishi Electric has responded to the needs of the industry and has made this technology available for production, with the launch of a high-speed version of its Contact Image Sensor (CIS), distributed under the name Mitsubishi Electric Line Scan Bar.
It is easy to overlook the contribution that optics make to a system; beyond
basic lens parameters such as focal distance, the details can seem confusing.
This Tech Tip presents a basic guide to optics to help users to make an
informed choice and get the best performance out of their existing systems.
High accuracy machine vision applications are dependent on the production of reproducible, high quality images, whether for inspection or measurement purposes. This means that the images must have sufficient resolution and proper definition of the areas of interest for the inspection or measurement to take place. Each element of a machine vision system has an important role to play in the overall outcome, but the optical system is a critical component since it forms the image of the object on the camera sensor.
All machine vision systems rely on the production of an image of sufficient quality to allow the required measurements to be made. Clearly the lens or lens combinations used in the vision system play a crucial role in determining the quality of the image produced. It has an impact on many other factors as well: These include the speed that can be achieved, measuring accuracy, and the reproducibility and reliability of the downstream analysis. Although fixed focus lenses are available, most lenses for machine vision applications are manufactured with metal housings and focus mechanisms.