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Laboratory automation

Precision and safety in all processes

Whether in the handling of liquids of any kind or the preparation and analysis of test tubes, SensoPart sensors help laboratories prevent errors and contribute to efficient processes.

Precise measurement of fill levels in microtiter plates is essential in many applications, e.g. when analysing blood samples or dispensing chemical substances. This is where our BlueLight photoelectric proximity sensors from the F 10 series or our UT 20 Soundpipe ultrasonic sensors prove their worth. The size, shape and color of a test tube cap play an important role in the subsequent analysis process – vision sensors from our VISOR® series can inspect these characteristics in one image. Finally, the VISOR® Code Reader can reliably identify and track every sample in an analysis process due to its ability to interpret all standard one- and two-dimensional codes as well as plain text. Errors can be excluded almost entirely.

Application examples

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

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8 Application examples match your search criteria

Description
Application
Description
Automated Manufacturing and Assembly of COVID-19 Test Kits

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.

Application
Classification AI
Detection
Description
Colour detection of lids

Test tubes must never be mixed up in laboratory automation. The aim of the application is to check the color of test tube lids in a carrier and send the results to the control system to avoid mix ups. 

Application
Inspection (AI)
Description
Comparing Plain Text and DMC-Codes

In modern production facilities, where traceability and quality control are essential, reading OCR and DMC codes on components plays a key role. These codes are used not only for identification, but also to ensure complete traceability of products and components throughout complex manufacturing processes. A reliable vision system must not only recognize OCR and DMC codes, but also compare them against each other.

Application
Identification
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
Precise Storage Space Detection in Automated Warehouse Systems

Automated storage and retrieval systems (AS/RS) are essential to today’s high-efficiency intralogistics operations. They enable fast, organized storage and retrieval while maximizing the use of available space. Goods are stored in containers or bins within compact compartments to streamline logistics and increase throughput.
To ensure smooth and error-free operation, these systems depend on accurate compartment positioning and reliable occupancy monitoring. Without proper detection, collisions and storage errors can occur. That’s why a robust optical sensor is needed to determine whether a compartment is empty, partially filled, or fully occupied, helping maintain a safe and efficient material flow.

Application
Detection
Description
Reading a DMC on test tubes

Test tubes have DMCs measuring 3 x 3mm in size with 14 x 14 modules. The aim of the application is to clearly identify the content of test tubes via a DMC to avoid mix-ups. 

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

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