Hyperspectral imaging provides its users with a high-performance possibility to determine differences in the chemical composition of test objects. This technology opens up interesting applications in areas such as recycling or food production.
Inspection is a critical component of HACCP programs in the food industry. Hyperspectral imaging now provides a powerful complementary approach for the machine vision engineer. Its ability to identify differences in the chemical composition of organic materials opens up major new possibilities for detecting impurities in food products. Most importantly, systems are now available that operate in real time, allowing them to be used on high speed production lines.
Chemical Colour Imaging (CCI) makes complex hyperspectral data on a molecular level usable for machine vision. Hyperspectral imaging systems from STEMMER IMAGING based on a generic, intuitive configurable data processing platform developed by Perception Park make the scientific methods of hyperspectral analysis accessible for everyone and open up new application areas.
When implementing an image processing solution, the selection of suitable illumination is a crucial element in determining the quality of the captured images and can have a huge effect on the subsequent evaluation of the image. Despite this, choosing the best light source for an application is often among the most fraught tasks in image processing and is quite often neglected - to the detriment of the overall system.
In any camera-based application the illumination is a critical part of the
system. At the most basic level, there must be enough light so that the camera
can acquire a good image. Beyond this it is almost always necessary to use the
orientation, geometry or colour of light to highlight relevant details or
minimise the appearance of unhelpful parts of the image, such as glare.
Getting the illumination right simplifies analysis, indeed it may be critical
to an inspection.
There are many different ways of increasing image processing speed. In the
latest version of Common Vision Blox, STEMMER IMAGING has adopted a new
method: offloading parts of the processing to the PC`s graphics card, which
can boost the speed of some functions by up to a factor of 10.
FPGAs used for data conversion is wide-spread and generally unseen by the user
but when they are brought to the forefront of processing, they have the ability to offload processing power from the CPU and can enable extremely high bandwidths.
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.