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Test & measurement


certain numbers of defects are exceeded. In addition, heat maps can be used to find error hotspots and draw conclusions about certain upstream processes.


APPEARANCE MEASUREMENT TO EVALUATE SURFACE STRUCTURE In addition to automatic processing with partner companies, Micro-Epsilon can perform an appearance evaluation that enables a structural evaluation of the surface. The existing paint structure is broken down into its spectral components. The components are summarised in different frequency ranges, for example, short or long wave, i.e. which short and long waves are contained in the structure of the surface, as no surface is perfectly smooth.


It is important for car manufacturers to maintain certain appearance values on a car body. Automated cells, end-of-line cells or aqua cells are normally used for this purpose. A vehicle is inserted into this and viewed by a robot with a scanner. The robot moves to the various positions and measures the appearance directly over the surface. This takes around 20 minutes in total – so a maximum of three vehicles can be measured per hour.


control, each equipped with a dual-mounted sanding and polishing head. A robot first grinds off the defect and then polishes it. Used sanding sheets and polishing sponges are removed at changing stations and new ones are picked up automatically. New polishing sponges are automatically prepared with polishing agent. The polishing agent is supplied directly to the robot using a clever cartridge principle. Using a laser marking system from Virtek Vision, the defect is then marked as machined without contact by projecting light onto the body. If required, additional defects can also be displayed via the projection, which must be reworked manually. The system knows at all times which robot is currently processing which points or which defects have already been processed.


The most important prerequisite for automatic processing is the detailed database that Micro- Epsilon can provide with reflectCONTROL. This enables OEMs to optimise their production, identify error chains and intervene at an early stage if errors occur. This saves OEMs time and costs in production.


EXTENSIVE DATABASE


Another important innovation is the classification of data. This can be used to automate the processing of errors. Classification means


Instrumentation Monthly March 2025


recognising the type of defect, for example, whether it is a crater, inclusion or defect from the sub-surface. The customer also has access to 3D data so they can access the exact dimensions of the defect at any time and initiate extensive analyses. As all data can be transferred to the company’s internal Q-System at any time, alarm functions can be set up and faults communicated at the appropriate point.


SYSTEM LEARNS AUTOMATICALLY More data can be derived from the 3D image and used to determine a wide range of variables. The system can also independently define new defect classes. Due to the large database, the system can also be used for audits. The labelled data is also used to train the underlying AI algorithms.


All data is available to the OEM in a file and can be read into the standard higher- level Q systems. This means that the data can also be visualised using established tools. The system learns from all the data it collects and therefore becomes increasingly ‘intelligent’. This saves the OEM time when working through errors, and the data can also be used to set up early warning systems to detect and eliminate error chains at an early stage. For example, warning thresholds can be created when


With the system from Micro-Epsilon, the appearance can be evaluated on the basis of the existing images without additional hardware. This saves time and costs for the OEM. In addition, any number of measurement positions can be defined, which basically corresponds to a full- surface appearance measurement. The number of vehicles is also not limited. The evaluation can also be output for each body. This enables the OEM to recognise trends and set and issue alarm signals – before major damage occurs.


RECOGNISE AND AVOID DEFECTS With reflectCONTROL, defects in reflective surfaces can be detected and classified almost 100 per cent. The system is superior to conventional light tunnels and static systems, particularly in the field of paint defect inspection in automotive production. Due to the large database, manufacturers of automatic processing systems are able to assign the correct processing recipes to the defects. This reduces unnecessary defect handling and therefore saves the OEM resources and costs.


Micro-Epsilon offers reflectCONTROL as a complete system from error detection to the analysis of 3D data via the database. ReflectCONTROL is developed and manufactured at Micro-Epsilon sites in Germany and Austria. Micro-Epsilon can implement reflectCONTROL at production sites worldwide – due to its international subsidiaries.


Micro-Epsilon www.micro-epsilon.co.uk 27


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