Generating Intelligence at the Edge: 3D Point Clouds with Stereo Machine Vision

Session details:

As devices and systems become more autonomous, connected, and intelligent, sensing technologies must evolve beyond simple data capture. RealSense is advancing this shift with binocular RGB + IR sensors that generate high-resolution 3D point clouds, enabling systems to perceive and interpret the world with accuracy and reliability. 


This session will deliver a technical deep dive into how RealSense’s stereo RGB and IR architecture works to produce robust point clouds with sub-millimeter accuracy, even in challenging lighting or dynamic environments. We will explore the sensor-level algorithms that translate stereo disparity into actionable 3D data and how embedded AI accelerates interpretation at the edge. 

Attendees will learn how this approach transforms industries: 
- Autonomous systems gain richer environmental mapping and obstacle detection. 
- Industrial automation achieves precision inspection and safety monitoring. 
- Medtech leverages real-time 3D imaging for surgical and diagnostic innovation. 
- Smart cities and manufacturing benefit from intelligent sensing that improves efficiency and sustainability. 

By combining optical depth sensing, IR illumination, and edge AI, RealSense demonstrates how sensors are evolving into intelligent, embedded systems that drive real-world impact.

Format :
Technical Session
Tags:
Industrial
Track:
Camera/Image/LiDAR/Optical/Radar Sensors
Level:
Intermediate