Embeddedadvisor
US
APAC
EUROPE
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
Go to...
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
  • Categories

  • IP Design
  • Telecom
  • Wearables and Sensor
  • Consumer Electronics
  • IoT
  • Industrial Computing
Go to...
  • Categories

  • IP Design
  • Telecom
  • Wearables/Sensor
  • Consumer Electronics
  • IoT
  • Industrial Computing
×
#

Embedded Advisor Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Embedded Advisor

Subscribe

loading

THANK YOU FOR SUBSCRIBING

  • Home
  • News
Editor's Pick(1 - 4 of 8)
left
Learn to Love the Machine

Sherif Mityas, Chief Information Officer & Chief Strategy Officer, TGI Fridays

Value Innovation in the Radiology Practice

Shannon Werb, CIO, Virtual Radiologic

Dennis Rausch, VP IT, Rea Magnet Wire Company

Identifying and Leveraging the Evolution of Smart Imaging

Paul Gallagher, Snr Dir Technology and Product Planning, LG Electronics

The Downstream Benefits of a Predictive Maintenance Solution

Hart Levy, Senior Director, Hart Levy Hitachi Consulting

The Diversity of Vision Guided Robotics

Chetan Kapoor is Senior Director of Technology Innovation, Yaskawa America, Inc., Motoman Robotics Division

Optimizing Warehouse Control Systems with Industry 4.0

Dr. Ralf Garlichs, EVP Products & Technology, Interroll Group

10 Economic Benefits of Hosted (Cloud-Based) Document Imaging Solutions

Anne Marie Girard, Director, iDoc Delivery/HIM Services, CareTech Solutions

right

How Machine Vision Broadens the Spectrum of Embedded Systems?

By Embedded Advisor | Friday, November 20, 2020

Tweet

Machine vision is all set to enhance the potential applications of embedded systems via component-based imaging systems. 

FREMONT, CA: Machine vision is increasingly contributing to the world of embedded systems. The need for efficiency, coupled with the pressure to restrain the cost, is leading to component-based imaging systems. With the advancement in technology and an increase in the number of smart industrial wearables, the need to lace the devices with imaging capabilities has also gained essence.

Embedded vision systems have been largely used in mobile devices. However, advancement in technology is expanding the possible use cases of embedded vision into other landscapes as well. In the coming few years, embedded vision technology will be found almost everywhere, ranging from heavily automated smart factories to ubiquitous everyday devices. 

Although a PC-based vision system offers good performance, it can be bulky and complex. On the other hand, embedded vision systems consist of an independent computer system that can be integrated directly into an electrical system or a larger mechanical system. Further, embedded systems are cheaper and easier to use than the PC-based counterparts. Minimal maintenance overheads also make embedded vision systems a lucrative option.

In the embedded world, a camera integration works with a USB or GigE interface, which is analogous to a plug-and-play solution connected to a PC. Camera manufacturers are providing their software development kit (SDK) in a format that also works on an ARM platform so that users can reconcile a camera in a similar fashion as on a personal computer (PC).

 An embedded system can be specialized to an even higher level for certain applications. System on Module (SoM), which is a board-level circuit, integrates system functions in a single module. The highly compact SoM modules can contain only a processor such as a memory chip, microcontrollers, or other essential components. Computer vision capability will enable SoM systems to perform image processing, thereby reducing latency and bandwidth consumption. 

Machine vision is improving the efficiency and throughput of the embedded systems. With powerful processing capabilities, embedded vision systems will contribute immensely to a wide range of industrial applications.

Read Also

Can Embedded Vision Guide Autonomous Cars?

Can Embedded Vision Guide Autonomous Cars?

3 Ways Machine Vision will Empower Futuristic Factories

3 Ways Machine Vision will Empower Futuristic...

How Mobile Embedded System Complements Real-Time Imaging

How Mobile Embedded System Complements...

How does Embedded Vision Contribute to Automating Industries?

How does Embedded Vision Contribute to...

Weekly Brief

loading

New Edition

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2021 Embedded Advisor. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy.
follow on linkedin follow on twitter
This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

www.embeddedadvisor.com/news/how-machine-vision-broadens-the-spectrum-of-embedded-systems-nid-474.html