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Is the right juice in the right bottle? Are the cookies the required shade of brown? Has the use-by date been added to the packaging? SensoPart sensors supply reliable answers to these and many other questions.
For example, when filling drink bottles: The laser scanners from the FT 25-RGO series are specially trained in the detection of (transparent) bottles, while the color sensor FT 55-CM or the vision sensor VISOR® Object Color unequivocally identify whether the bottle lid is in the right position and of the right color. At the end of the production chain, our VISOR® Code Reader scans the packaging and checks the codes and plain text information. Many of our sensors also come in a particularly robust and hermetically-sealed stainless steel housing (IP 69 K), perfect for use in hygiene environments: When an industrial meat processing plant is cleaned with a powerful steam jet at the end of a shift, the sensor can also enjoy a good wash.
The following application examples show you the possible uses of our products in practice.
To optimize the serving of drinks at major events, the process is automated using an innovative drink filling machine. Sensors ensure that transparent plastic cups are properly detected and automatically initiate the filling process as soon as a cup is inserted into the machine.
During final product control, it is to be checked that the products have a uniform appearance. The aim of the application is to guarantee the correct position of adhesive labels on packaging so that the products appear identical on the sales shelf.
During final product control it is checked that the products are correctly sealed. The aim of this application is to check that closures are fully sealed so that products cannot leak during transport.
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.
In food production, different products (such as pre-packaged salads) are often processed simultaneously on a single line. A vision sensor ensures that the correct product type is processed and packaged, and inspection results are delivered in real time.
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.
After food is packed, QR codes are to be read on the packaging to check the legibility of the code and to read the content.
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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