Machine vision always reduce production costs. Whether an improvement in product quality or by enabling automation of industrial processes that would not be possible with other technologies.
Find out how to cut costs with machine vision
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Machine vision automates processes in different industrial areas, improving their production process.Advantages of machine vision in quality control
Machine vision is a powerful tool for quality control in industry. The highly versatile, high rate of inspections and scrupulous accuracy, make machine vision able to inspect the entire production.
Advantages
The main advantages of the use of artificial vision applied to quality control are:
Inspection of the total production
Due to the high rate that can reach the inspection with cameras, machine vision quality control can be used to inspect each of the parts produced instead of random sampling of the lots.
Repeatability
With machine vision for quality control, each inspection is performed under the same conditions, thus ensuring repeatability of each of the parameters of product acceptance.
Consistency
The automated inspection feature avoids the subjectivity of the human being and fatigue, so each piece is consistent level of quality in all others.
Reduced costs
There are obvious advantages of quality control at the end of the production process for the reduction of costs, your customer will defect-free products, avoiding return of lots and improving their image. With the inspection of the quality parameters with camera at intermediate points in the production process, will enable early detection and remove defective parts before being assembled, thus avoiding the complete rejection of the product end. You also get benefits due to the relocation of human resources previously used to ensure product quality.
Examples of applications of machine vision quality control
In our pages of artificial vision applications in industry, you'll find several examples of applied machine vision. Then we offer links to applications directly related to quality control.