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Flying Pixels in ToF Cameras Explained: Causes, Impact & Solutions

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Manage episode 525082666 series 3511249
Content provided by e-con Systems and E-con Systems. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by e-con Systems and E-con Systems 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.

Flying pixels are one of the most common—and misunderstood—artifacts in Time-of-Flight (ToF) depth cameras. These false depth points appear near object edges and depth discontinuities, often leading to unreliable 3D perception in robotics, automation, and embedded vision systems.

In this episode of Vision Vitals by e-con Systems, we break down:

• What flying pixels are in ToF cameras
• Why they occur near edges and depth transitions
• The role of aperture size, integration time, pixel geometry, and IR interference
• How flying pixels affect AMRs, AGVs, obstacle detection, and SLAM
• Software filtering techniques like depth discontinuity and median filters
• Hardware approaches such as Mask ToF and optical control
• Best practices for reducing flying pixels in real-world deployments

Whether you’re designing robotics perception systems, industrial automation, or 3D sensing applications, this episode will help you understand how to clean up depth data and avoid false obstacles.
🔗 Explore e-con Systems Depth Cameras

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 525082666 series 3511249
Content provided by e-con Systems and E-con Systems. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by e-con Systems and E-con Systems 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.

Flying pixels are one of the most common—and misunderstood—artifacts in Time-of-Flight (ToF) depth cameras. These false depth points appear near object edges and depth discontinuities, often leading to unreliable 3D perception in robotics, automation, and embedded vision systems.

In this episode of Vision Vitals by e-con Systems, we break down:

• What flying pixels are in ToF cameras
• Why they occur near edges and depth transitions
• The role of aperture size, integration time, pixel geometry, and IR interference
• How flying pixels affect AMRs, AGVs, obstacle detection, and SLAM
• Software filtering techniques like depth discontinuity and median filters
• Hardware approaches such as Mask ToF and optical control
• Best practices for reducing flying pixels in real-world deployments

Whether you’re designing robotics perception systems, industrial automation, or 3D sensing applications, this episode will help you understand how to clean up depth data and avoid false obstacles.
🔗 Explore e-con Systems Depth Cameras

  continue reading

17 episodes

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