Time-of-Flight 3D imaging is increasingly being used in robotics and automation applications where reliable depth data is needed for object detection, localization, measurement, and guidance. This presentation provides a practical overview of how Time-of-Flight compares to other 3D sensing technologies, including structured light, stereo vision, and LiDAR, and explains where it can provide advantages in industrial environments.

The session will explore real-world deployment considerations such as HDR imaging, high-speed acquisition, multipath mitigation, multi-camera coordination, material-specific tuning, working distance, field of view, surface reflectivity, and environmental robustness. Application examples will include bin picking, palletizing, volume estimation, robotic guidance, and automotive inspection. 

Attendees will leave with a clearer understanding of how to evaluate, optimize, and implement Time-of-Flight 3D imaging for robust automation systems on the factory floor.