This article discusses the use of an encoder to ensure accurate ongoing tracking of a motor's rotor shaft and the key factors that will help in the selection of the encoder based on different parameters.
March 16, 2021 by Jason Kelly, CUI Devices
This article discusses some concepts for ensuring motion detector designs will be robust to external disturbances by presenting an infrared detector assembly that can significantly reduce the parts count and improve product performance and reliability.
February 23, 2021 by Ryan Sheahen, Littelfuse
Leveraging board-level cameras offer a variety of benefits. To help identify the right mix of features and design elements, here are some factors to consider when selecting and designing in an embedded machine vision camera.
February 11, 2021 by Brian Cha, FLIR
This article provides an overview of access control topology in smart homes and industrial buildings by covering the various protection and sensing solutions engineers can use in their designs.
November 17, 2020 by Ryan Sheahen, Littelfuse
NXP’s i.MX 8M Plus applications processor enables machine learning and intelligent vision for consumer applications and the industrial edge. Learn about the features of this processor and how it can be used in embedded vision systems.
October 22, 2020 by Jeff Steinheider, NXP Semiconductors
This article looks at semiconductor technologies that are driving EV chargers, including high-voltage semiconductor switches, power converters, and multi-level complex power stages.
October 06, 2020 by Jayanth Rangaraju, Texas Instruments
Semiconductor manufacturing is a complex industry and small improvements anywhere in the process can make a big difference to the bottom line. This article discusses the benefits of continually optimizing manufacturing for the semiconductor industry by introducing smart manufacturing solutions.
May 19, 2020 by Tim Hewitt, Siemens Digital Industries Software
With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.
January 21, 2020 by Neel Natekar, Mentor