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The production of pharmaceuticals is a sensitive matter, as people’s health is at stake. SensoPart sensors conscientiously check contents and packaging.
An identifying feature frequently used for correct placement and packaging is color: Our vision sensor VISOR® Object Color can reliably detect whether a tablet of incorrect color has found its way into the blister pack. And our FT 50 UV luminescence sensor will spot if an information leaflet is missing. With cosmetics, it might be less dramatic if a bottle does not contain the correct shampoo, but this can be avoided by inspecting the bottle lid and/or product color with the aid of our color sensors FT 25-C or FT 55-CM. For use in hygiene environments, many of our sensors also come in a robust, hermetically sealed stainless-steel housing (IP 69 K) specially designed to withstand water jets or chemicals.
The following application examples show you the possible uses of our products in practice.
To streamline the production of COVID-19 test kits, automated assembly of the tests is necessary. The test kits consist of several components. To automate their assembly, the rotation direction as well as the prone/ spine position of the individual parts must be determined. Only then can the kits be correctly assembled by the machine.
In the manufacture of lipsticks in the cosmetics industry, lipsticks sometimes have to be detected by optical sensors. Here, the lipsticks must be recognized quickly and reliably, regardless of their shape and color.
In modern manufacturing, the need for seamless component traceability (Track-and-Trace) continues to grow. Data Matrix Codes (DMCs) have emerged as one of the most reliable methods for identification and traceability. The goal is to scan the Data Matrix Code on each component, guaranteeing precise product processing and flawless serial number management.
When manufacturing ball bearings, it is vital to know that the bearing has the full number of balls. The aim of the application is to inspect a ball bearing after assembly to ensure it is complete.
In high-performance bottling plants, tens of thousands of bottles can be transported on conveyor belts every hour. With the help of robots, the PET bottles are automatically placed on the conveyor line. Depending on whether the belt is free or not, the robot should place additional PET bottles on the conveyor line. An optical detection system should monitor whether the conveyor line is free or occupied in a certain area (area monitoring) and provide the robot with a trigger signal.
When filling glass bottles or labelling bottles, it is essential to be sure that the bottle is present under the tool in the machine.
A robot is tasked with picking components from a flexible feeding platform. The position of the objects may vary. A vision sensor can identify and relay the exact position of the part to the robot.
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.
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