Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by CBC AMERICA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CBC AMERICA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Smart Lens Revolution: Why AI and Robotics Broke the Rules of Machine Vision Optics

12:42
 
Share
 

Manage episode 514044397 series 3680621
Content provided by CBC AMERICA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CBC AMERICA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of "One Thousand Tech Drive," we explore the transformative impact of AI and robotics on machine vision optics. Discover how the integration of modern technology has disrupted traditional approaches to lens selection and usage.
Key Points:

  • Dynamic Systems Over Static Optics: Traditional lens choices based on fixed constraints like resolution and field of view are no longer sufficient. Modern systems require lenses that accommodate movement, variability, and intelligence, transforming a simple optics decision into a complex system challenge.
  • Integration of AI and Robotics: The lens is now a critical element in a data-driven pipeline, requiring features like calibration stability, remote control, and future-proofing. The selection process must start with understanding the AI's mission and ensuring lenses deliver pristine data to meet high accuracy demands.
  • Advanced Lens Technology: The need for motorization, remote control, and robust designs has driven the development of smart lenses. Future innovations may include lenses with integrated machine learning and self-calibration routines, further enhancing their adaptability in dynamic environments.
  continue reading

11 episodes

Artwork
iconShare
 
Manage episode 514044397 series 3680621
Content provided by CBC AMERICA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CBC AMERICA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of "One Thousand Tech Drive," we explore the transformative impact of AI and robotics on machine vision optics. Discover how the integration of modern technology has disrupted traditional approaches to lens selection and usage.
Key Points:

  • Dynamic Systems Over Static Optics: Traditional lens choices based on fixed constraints like resolution and field of view are no longer sufficient. Modern systems require lenses that accommodate movement, variability, and intelligence, transforming a simple optics decision into a complex system challenge.
  • Integration of AI and Robotics: The lens is now a critical element in a data-driven pipeline, requiring features like calibration stability, remote control, and future-proofing. The selection process must start with understanding the AI's mission and ensuring lenses deliver pristine data to meet high accuracy demands.
  • Advanced Lens Technology: The need for motorization, remote control, and robust designs has driven the development of smart lenses. Future innovations may include lenses with integrated machine learning and self-calibration routines, further enhancing their adaptability in dynamic environments.
  continue reading

11 episodes

Alle episoder

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play