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Packaging technology

The right sensor for every task

Numerous production steps are necessary before merchandise is packed ready for shipment – involving just as many different detection tasks along the packaging line. Sensors from SensoPart guarantee the smooth overall functioning.

One typical example is chocolate bars: They are usually packed in flow pack wrappers that are supplied from a coil in the form of an endless tube. FT 55-RLAM laser distance sensors continually monitor the thickness of the coil, and the tension of the material, to ensure a seamless feeding process. A multi-color contrast sensor from the FT 25-RGB series uses registration marks to identify where the coil has to be cut into single packs, while an FT 25 RH photoelectric proximity sensor detects the precise position of the individual wrappers before they are filled. Thanks to high-precision background suppression, reliable results are guaranteed regardless of extraneous light and reflections.


 

Application examples

The following application examples show you the possible uses of our products in practice.

Filter application examples

15 Application examples match your search criteria

Description
Application
Description
Checking the position of adhesive labels

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.

Application
Inspection (AI)
Description
Closure check of bottles

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. 

Application
Inspection (AI)
Description
Control of safety and identification labels

The labeling of the battery pack requires the manual application of safety and identification stickers. Incorrect or inaccurately positioned labels could lead to misinterpretation or misuse of the battery pack, necessitating label verification.

Application
Inspection (AI)
Description
Detection of packages on conveyor belts

Thousands of parcels are transported on conveyor belts in logistics every day. They must be sorted, diverted, and dispatched. For a smooth process at loading and transfer points, the presence of the packages should be checked with an optical detection system. The front edge of the packages should be reliably detected.

Application
Detection
Description
Detection of transparent bags

In many manufacturing processes in different sectors, such as in the packaging industry, transparent pouches or bags must be reliably detected with the help of a sensor.

Application
Detection
Description
Detection of trays

The detection of trays on conveyor belts is an important task in many industrial processes. It is important that the trays are recognized quickly and reliably with the help of a sensor in order to control further processing. The trays can be different colors and transparent

Application
Detection
Description
Effortless Traceability: Displaying code contents, texts,

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.

Application
Identification
Description
Full count of balls in a ball bearing housing

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.

Application
Inspection (AI)
Description
Pad Printing Inspection

Pad printing is considered one of the main methods for printing on parts. However, during this printing process, various defects can occur...

Application
Inspection (AI)
Description
Palletisation of packaging

Once packed, the end products must be stacked on transport pallets. However, the position of the boxes can fluctuate as they arrive, and their density on the conveyor belt can also change due to different cycle times.

Application
Detection
Positioning
Description
Presence and absence control of PET bottles on conveyor lines

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.

Application
Detection
Description
Presence of glass bottles

When filling glass bottles or labelling bottles, it is essential to be sure that the bottle is present under the tool in the machine. 

Application
Detection
Description
Reading QR codes on plastic film

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. 

Application
Identification
Description
VISOR® Makes Component Positions Visible

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.

Application
Positioning
Description
Visualisation of entire process with SensoWeb

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.

Application
Classification AI
Identification
Inspection (AI)
Positioning