Balluff Blog - automation

Automation of Life Science Equipment Manufacturing

The Corona pandemic created a huge demand for Covid testing equipment. To ramp up such a production volume can only be realized by the usage of automated production with machinery equipment. Also most of the components for lab analysis are produced in an automated manner along with the performance of lab analysis processes.

For the production of devices for blood analysis or for diagnosis of tissue samples as well as for the assembly of other medical devices automated processes increase both efficiency and reliability.

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Sensor solutions for lab equipment

Lab equipment assists diagnostic activities. It often consists of high tech systems which use a variety of components. Manufacturers of equipment often qualify standard sensors (“catalogue goods”) or modifications of standard sensors as component purchasing within a defined supplier management.

Automation Machine & Plant Engineering Machine Vision & Optical Identification Sensors

Application Spotlight: Drive belt assembly in washing machine production

Washing machines, dryers, refrigerators and other large household appliances are manufactured in complex, highly automated manufacturing processes.
But even in predominantly manual production and assembly processes, individual process steps can also be effectively automated. One example is the quality inspection of the drive belt assembly in a washing machine production.

Industry 4.0 Sensors

With what momentum will hydraulics emerge from the pandemic?

Like most industries, the hydraulics industry also had to cope with the pandemic in 2020, although a recovery was already noticeable during the year. This could be because a broad range of applications and industries are served – and the industry is successfully taking on the current challenges of energy

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Intralogistics in Metalworking

In order to increase the utilization and overall system effectiveness of machine tools, the production engineers plan automation solutions for the automatic loading and unloading of workpieces in the CNC machining center or the CNC lathe. Machine tool builders offer appropriate automation equipment as an option when purchasing new machines.

Automation Capacitive Sensors Photoelectronic Sensors Semiconductor Sensors

Customized sensor solutions for the semiconductor industry

Increasing complexity of products often means increasing complexity of manufacturing processes, with a simultaneous increase in the degree of automation. This leads to a growing field of application for sensors, which, however, are not always perfectly suited for every application. This often means: customized sensor solutions are needed.
In this article you will learn what customer and application specific sensors are all about, who needs them and how to get them.

Digitalization & IIoT

Phasing out ElasticSearch data with Index Lifecycle Management

Out with the (c)old, in with the new Recently I needed to look into time-to-live (TTL) capabilities within ElasticSearch. It has been several years since I used this feature (version 1.5, to precise – aeons ago!) Unsurprisingly, things have changed significantly since. Instead of setting _ttl in the index mapping

Automation Capacitive Sensors Level Sensing Machine Vision & Optical Identification Photoelectronic Sensors Sensors

Specialized Sensors for Lab Automation

In lab automation optimized mechatronic solutions play a major role. The requirements to be met are high precision and reliability with very limited installation space.

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Digitalization & IIoT

Java machine-learning libraries

Introduction In an earlier article I mentioned briefly some possibilities for bringing python-trained machine learning models into production. Specifically, a java environment. In this article I will take a closer look at how this can done and what pitfalls we should avoid. Keras In the words of the Keras website,

Digitalization & IIoT Industry 4.0

Predicting a distribution: confidence intervals and Keras

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Introduction When we work with classification or regression models we are seeking to predict either a discrete value, or a value along a continuum. The accuracy of these models is implicit in the metric we use when training: either in the cost function during the actual training, or something like