Advantages of Event-Based Vision Systems
What you’ll learn:
- What is event-based vision?
- How do event-based vision systems work?
- Why are event-based vision systems useful?
Conventional image sensors capture a frame at a time while event-based vision sensors track changes of individual pixels. In this episode of Inside Electronics, I talk with Dr. Luca Verre, Founder of Prophesee, about the company’s event-based sensor and how it works.
An event-based imaging system can detect changes more accurately while reducing bandwidth and power requirements, assuming all of the pixels don’t change between frames. This is often the case for many applications, especially when it comes to industrial imaging. The approach is also an ideal match for neomorphic computing, where spiking neural network (SNN) artificial-intelligence models are driven by event-based data.
SHOW NOTES
01:00 – The Prophesee Sensor
04:33 – Applications for Event-Based Vision
06:09 – Spiking Neural Networks
09:04 – Company Demos
12:42 – Efficiency of Event-Based Vision
>>Check out this TechXchange for more podcasts, as well as of our coverage of CES 2025
About the Author
William G. Wong
Senior Content Director - Electronic Design and Microwaves & RF
I am Editor of Electronic Design focusing on embedded, software, and systems. As Senior Content Director, I also manage Microwaves & RF and I work with a great team of editors to provide engineers, programmers, developers and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.
You can send press releases for new products for possible coverage on the website. I am also interested in receiving contributed articles for publishing on our website. Use our template and send to me along with a signed release form.
Check out my blog, AltEmbedded on Electronic Design, as well as his latest articles on this site that are listed below.
You can visit my social media via these links:
- AltEmbedded on Electronic Design
- Bill Wong on Facebook
- @AltEmbedded on Twitter
- Bill Wong on LinkedIn
I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.
I still get a hand on software and electronic hardware. Some of this can be found on our Kit Close-Up video series. You can also see me on many of our TechXchange Talk videos. I am interested in a range of projects from robotics to artificial intelligence.