Sponsored webinar

How can an MCU simplify industrial IoT sensor system design?

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This activity can contribute towards your Continuing Professional Development (CPD) as part of the IET's CPD monitoring scheme

Do you often come across pain points such as power consumption, BOM costs, data security, board space and flexibility when designing with analogue sensing? Register for E&T's latest webinar with live Q&A on Thur 12th Sept at 4pm CEST / 3pm BST

Sensors are pivotal to industrial IoT systems. Accuracy in these systems is essential from smoke sensors to instrumentation systems, from electricity meters to flow control meters, and beyond into applications such as medical monitors.

Analogue sensing for these applications requires high-accuracy sensor signal acquisition and conditioning. Pain points for designers working with analogue sensing include:

  • Power consumption
  • BOM costs
  • Board space
  • Data security
  • Flexibility

To address these needs, Renesas introduced the S1JA microcontroller which can offer various configurations for analogue systems.

This webinar will discuss how S1JA can achieve high accuracy sensor systems by looking at each integrated analogue functions.

Join this webinar to:

  • Discover a new analogue microcontroller which will achieve a better performance, simplified design, and BOM cost reduction.
  • Gain greater understanding on analogue functions that are integrated on Renesas Synergy S1JA microcontroller (ADC, DAC, Comparator, OpAmp)
  • Learn how to utilise the multiple analogue functions on a single microcontroller

Join us live on Thur 12th Sept at 4pm CEST / 3pm BST or watch on demand - register your interest

Mouser have some good related IIoT blogs - we think you'll like this:

The OpenFog Consortium recently joined forces with the Industrial Internet Consortium, producing a powerhouse of edge-fog thought and architecture. This Mouser blog describes the motivations for joining forces, markets and applications served, and thoughts about the future of edge-fog computing in IoT networks. 

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