Computer Vision
Machine vision refers to the use of sensors to receive signals that form an image of an object, which are then used by a computer or other signal processing devices to interpret and analyze the signals received from the part.
Machine vision, as an engineering tool in digital devices and computer networks, is used to control other industrial equipment such as robotic arms or to reject defective items.
In fact, machine vision is a branch of engineering that relates to computer science, optics, mechanical engineering, and industrial automation. One of its most important and widely used applications is in the inspection of industrial goods, including semiconductors, automobiles, food products, and pharmaceuticals.
Just as human workers use the naked eye on production lines to inspect products for quality and manufacturing integrity, machine vision uses digital cameras, smart cameras, and image processing software for this purpose.
Machine vision devices are used to perform specific tasks such as counting objects on lifts, reading serial numbers, and detecting defective surfaces. Currently, industry makes extensive use of machine vision systems for visual inspection of objects requiring high speed, high accuracy, 24-hour operation, and high repetition of calculations.
Although humans perform better with greater adaptability to new errors in a short time, due to the aforementioned characteristics, these devices are gradually replacing human labor in industry—labor that is prone to errors due to fatigue and poor conditions.
Objectives of implementing machine vision
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Removing cracked and chipped cells from the production cycle.
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Controlling the correct orientation of the cell.
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Verifying correct placement / positioning of the cell.
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Inspecting the cleanliness and surface quality of the cell.
