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Traditional machine vision methods often face limitations in identifying components without codes or or inspecting products for correct assembly. However, our advanced artificial intelligence algorithms overcome these challenges with ease.
The following application examples show you the possible uses of our products in practice.
In automobile production, different vehicle variants are manufactured on one and the same production line. In order to ensure that the correct type of tank nozzle has been installed in the correct vehicle, a vision sensor should carry out a type check.
In automated automobile production, it is important to check whether the correct fuel hoses and clamps have been installed. The components are to be checked with the aid of a vision sensor.
In automobile manufacturing, the switches on the dashboard vary depending on the vehicle model. To ensure that the correct switches have been installed in the correct vehicle, a vision sensor should carry out a type check.
Vibration spiral conveyors can be used for sorting, conveying and transporting a wide variety of small parts and connecting elements. Springs, screws, nuts, pins, washers, caps and special elements are sorted and made available for automatic further processing. Different batches with different springs can be processed in a vibratory bowl feeder. Getting the wrong springs down the line will result in rejects and/or machine damage. A vision sensor is used to ensure that the correct spring type is fed.
Throughout the production process, a large quantity of data is generated that has to be monitored and checked. The operator must be able to consult, manage and evaluate this data easily in order to identify and implement any necessary modifications to the process.
