Computer Vision and Inspection

It is hard to find a manufacturing system free of errors or a perfect with the absent of machine vision, we to be informed when error become to creep in to the process, so that we can take corrective action and ensure that quality and productivity are maintained. Systems that are equipped with comprehensive visual capabilities are adaptive and can deal uncertainly with the environment. Considering safety and reliability, product quality and flexible automation is the most common issues in the industrial environment, so adapting a powerful vision sense to match the needs of this environment is kind of go through complex of senses that would serve the system results.

One of the most important subjects in industrial machine vision is automated visual inspection, there is a huge need using this subject in the areas like quality assurance, monitoring a product, testing and calibration. These applications can be classified under gauging, inspection or sorting.

Gauging is concerned with the measurements of parts and with checking tolerance, where inspection is concerned with performing part verification (i.e. missing parts or sections from the inspected object); finally sorting is concerned with identification and recognition of objects or parts. At this time, dealing with robot vision in automated industrial area are less varied, due to the complexity of dealing with three dimensional inspections and verifications instead of two-dimensional.

The only two applications that are well developed are materials handling and welding, the reason is those applications can easily be reduced into two-dimensional. All practical machine vision systems in use today exist for their own specific purposes. Some are used to ensure that parts coming off assembly lines are manufactured correctly. Some are used to detect the lines in a road for the benefit of cars that drive themselves.

Dr.Mohamed Kayyali, Ph.D image processing, Founder: Kayyali edge detection operator