Sensor Instruments: Inline Color Measurement of Paint Through a 15mm Thick Inspection Glass
Usually the color checking of color paint during production primarily is done in a laboratory.…
Usually the color checking of color paint during production primarily is done in a laboratory.…
Improved Accuracy with Faster Dynamic Responses POSITAL’s updated analog programmable rotary encoder are now available…
IO-Link inductive sensors with Smart Sensor Profile are easier to integrate into existing systems and…
■ Small Ø4 x 35 mm or M5 x 35 mm stainless steel housing ■…
Especially the counting of transparent, stacked plastic caps, as they for example frequently are used…
Many promises of great value are currently linked to machine learning or self-learning algorithms. Big data and great computing power are required to see them come to fruition. For sensor applications in predictive maintenance, an ARM®-based microcontroller may be sufficient to implement AI algorithms. This has been demonstrated by Andreas Mangler, Director Strategic Marketing & Communications at Rutronik, together with his engineering team.
Embedded Artificial Intelligence (e-AI) Technology The evolution of artificial intelligence (AI) technologies such as machine…
Securing a microcontroller-based application for the IoT can be tricky. Security starts at the hardware…
Early proponents of the Internet of Things (IoT) took the centralized network approach that had…
Core Independent Peripherals (CIPs) are autonomous, interconnected and intelligent peripherals. With CIPs the microcontroller doesn’t need to interact with the Central Processing Unit (CPU) to executing tasks. This equals several advantages for the application.