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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.

Typical applications

Vision Sensor Code Reader for Laboratory Automation
Identification of laboratory samples

The identification and tracking of samples in the analysis process are an important precondition for laboratory automation: Only then is it possible to process enormous quantities of data and avoid faulty diagnoses. The high-resolution vision sensor VISOR® Code Reader reliably identifies every sample through printed or directly marked codes.

Application examples

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

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2 Application examples match your search criteria

Description
Application
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
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
Detection
Distance measurement
Identification
Inspection
Positioning