Inspection you can trust.
In a free market, the key to a brand's long-term success is the high quality of its products.
The problem of its effective inspection becomes particularly acute when 'manual' inspection methods no longer work. Industrial production methods produce a lot, quickly and with reproducible quality, so they need equally effective quality inspection tools.
Modern technology makes it possible to automate quality inspection processes, performing their tasks more accurately, faster and cheaper than the best-trained personnel. Its peak achievement is machine vision
Do you want to know more? Learn about the history of machine vision and why Henry Ford hand-signed every car before it left his factory.
Electronic system quality control system
Schematic diagram of machine vision
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Software / Data (PC)
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Camera
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Control panel
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Ejector
5. Illuminator
6. Conveyor belt
7. Non-compliant elements (SAI)
8. Compliant items (OK)
How it works?
The basis of most machine vision systems are image capture devices (cameras or scanners) and a computer that analyses the data they transmit.
Dedicated software processes the incoming images in real time and catches deviations from the standard set for the component.
Illuminators are also an integral part of the system, providing the cameras with optimal working conditions.
Completing the whole are usually automatic ejectors or other peripherals that remove items identified as non-conforming (NOK) from the production line, eliminating them from further processing, making it autonomous.
Interestingly, while the effectiveness of the quality inspection worker declines over time due to the way our body and mind work, the effectiveness of machine vision is constant (systems based on image processing algorithms) or even increases (in the case of systems based on machine learning).
Machine vision can be expanded to a complex system that not only controls the quality of the components being inspected, but also controls the packaging and palletising processes by cooperating with external devices such as robots, processing machines or labelling machines.
Work in three dimensions.
Three-dimensional objects present machine vision with entirely new challenges - processing a cloud of millions of points and working on multiple planes is a much more difficult task than 2D image analysis, especially in a high-performance industrial production environment.
Today's solutions based on linear and structural scanners are able to keep up with production and control in-line the shape, dimensions, geometry and, for example, the completeness of components.
3D scanners also allow the automation of depalletising processes and are increasingly used in automated warehouses.
Working of the robotic arm
Where does a machine vision system work best?
Despite hundreds of implementations over several years, the application possibilities of machine vision continue to surprise us. Despite hundreds of implementations over several years, the application possibilities of machine vision continue to surprise us. In addition to large industries, we have found a way for machine vision to serve customers in less obvious industries, such as the production of millions of candles. Machine vision works in the following conditions:
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A lot is produced quickly.
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A quick and error-free quality assessment of the product is essential.
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Priority is given to the safe use of the product and if a process is overlooked or neglected, it can have serious consequences.
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The costs of processing a non-conforming item are high and deficiencies must be eliminated from the process as early as possible.
Examples of industries where machine vision works best:
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automotive
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pharmaceutical and medical industry
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cosmetics
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plastics
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electronics
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packaging
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food and processing
What besides a quick ROI?
A fundamental criterion in the design of our solutions, is the shortest possible ROI achieved by the customer.
However, a quick ROI is not the only benefit the customer gains. Although it is the most quickly perceptible and easy to express in numbers, in the long term it may not be the most important. The elimination of shortages from turnover over time translates into an increase in brand value as a reliable manufacturer of good quality products, which is an invaluable added marketing value.