Visual inspection for surface defects

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Rising labor costs are one of the key factors that make various manufacturing companies gradually move away from manual control of processes and increasingly focus on their automation. This applies especially to inspections of large-scale production, where proper compliance with strict control requirements is difficult, and sometimes even impossible, without implementing an automated system.

Visual inspection for surface defects is the basis for correctly assessing the quality of the manufactured element at every stage of the production process. This allows you to quickly detect defects, reduce production losses, and thus provide customers with high-quality final products. At TKM Projekt, we design advanced solutions in this area in accordance with the device standard applicable in a given company.

Application

Vision inspection for surface defects uses advanced algorithms that enable precise inspection of details and immediate identification of errors. The vision system immediately signals detected deviations from the set standard, and in the event of a repeated serial error, for example, it stops the production process, eliminating losses.

Modern vision systems are becoming a kind of workplace assistant in production plants, where they are increasingly advanced to a degree that allows control of the entire manufacturing process. Their use allows you to significantly increase the efficiency and quality of production processes in the company.

High repeatability

Visual inspection for surface defects is highly repeatable. Modern vision systems can inspect hundreds or even thousands of parts per minute on the production line.

Accuracy

Vision inspection systems are equipped with cameras that detect a much wider range of wavelengths than the human eye, which allows for the visibility of defects that are not visible to the operator, e.g. in daylight.

Saving time and money

Visual inspection for surface defects allows you to quickly eliminate parts with defects, while reducing the human factor during quality control. Elimination of defective parts translates into optimization of raw material consumption and lower complaint costs.

Greater process control

Using a vision system, you can precisely track process data, which allows for more effective optimization of the production process and reduction of energy and raw material consumption.

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