At Mikalor we use quality control by machine vision. This detection method has solved one of the greatest problems encountered by large-scale industry.
At Mikalor we use quality control by machine vision. This detection method has solved one of the greatest problems encountered by large-scale industry. How to make quality control highly efficient and at the same time cost-effective.
The manual examination of each individual part manufactured is a slow and costly affair. Furthermore, the supply of defective parts into the market can be very counter-productive for the manufacturer and the brand in question.
How does quality control by machine vision work?
On any assembly line there is always a margin for error when a part is manufactured or assembled.
Quality control by machine vision is a system which works by taking multiple images of each part. This allows any deviation from previously stipulated parameters to be identified instantly.
Each part is scanned by a sensor or camera, allowing precise details to be checked for variations in dimensions, imperfections in form, colour, missing parts, or superficial and internal defects.
Unlike the human eye, a machine can carry out this task automatically and without any interruptions. Moreover, it can take decisions immediately based on the information received and is consequently more efficient and much more cost-effective.
Applications of machine vision in quality control
Machine vision is used in a wide variety of applications, depending on the sector in question and the type of product manufactured on each production line,
- Inspection: This type of visual system is frequently used in industrial applications to ensure homogeneity in production. This system detects missing parts, deformations, measures that the same quantity of liquid is contained in each package etc.
- Production line monitoring: Hyperspectral cameras are used to detect unwanted elements on the assembly line by measuring the wavelength of each part.
- Checking: Machine vision can also be used to identify almost imperceptible defects in the final product, such as a different colour in a piece of fruit, a label which has not been perfectly applied or the slightest of deformations in the finished article.
- Measuring: Certain products are also measured using machine vision to corroborate that they are in perfect condition and that there are no manufacturing errors such as variations in depth, distance, width, length etc.
- Barcode verification: The use of this technology to read barcodes is habitual as this confirms that they can be read by other devices.
Advantages of the use of machine vision in quality control.
This type of quality-control system is one of the most cost-effective solutions for the automated industrial sector and has the following advantages:
- The elimination of subjectivity in inspection: All products are subject to the same quality control parameters.
- An adaptable and flexible process: This system allows for variations in the detection parameters for each product and each production line. This means that the system can be configured as many times as necessary for totally different products with different detection parameters.
- Non-invasive: This type of system is totally non-invasive. This makes inspection much safer and more efficient as there is no contact with the product.
- Time optimization: These devices save a lot of time and can work non-stop, which helps to optimize industrial production processes.
- Margin of error: This technology has a very low margin of error, meaning that most defects are detected, ensuring the quality of the finished product.
- As a manufacturer of hose clamps and fasteners Mikalor aims to offer the very best quality to our customers. For this reason, we opted for a sophisticated quality control system using machine vision.